We're seeking an experienced Security Engineer to join a multi-disciplinary delivery team working across several concurrent cloud workstreams. This role combines hands-on engineering with advisory responsibilities, ensuring security is Embedded throughout the platform without slowing delivery. This role is ideal for someone who can balance hands-on delivery with pragmatic security guidance, working collaboratively across teams to ensure secure and scalable outcomes. The task and experience needed: The primary focus will be on designing and implementing secure OCI tenancy configurations, both for new environments and existing platforms. You'll help establish robust, repeatable cloud foundations that enable scalable delivery across multiple workstreams. This includes defining secure baselines across IAM, networking, and core platform controls, while enabling services such as logging, monitoring, and Oracle Kubernetes Engine (OKE). You'll also play a key role in identifying security gaps and ensuring pragmatic, delivery-focused improvements. Need to have strong, hands-on experience with Oracle Cloud Infrastructure (OCI), particularly at the tenancy and foundational level. This includes designing compartments, implementing IAM policies and dynamic groups, and building secure networking architectures using VCNs, subnets, routing, and security controls. Be comfortable establishing secure baseline configurations and applying security services such as Cloud Guard, Security Zones, Vault, and WAF where appropriate. Experience with Terraform (ideally Terraform Cloud) and working within GitHub-based workflows is essential, as is a solid understanding of core cloud security principles like least privilege, segmentation, and encryption. Must have practical experience in logging and monitoring within OCI, including enabling logging services, defining retention strategies, and supporting audit and security visibility. Familiarity with integrating these into security operations-such as alerting and basic incident response-is important, along with working knowledge of Oracle Kubernetes Engine (OKE) and container security fundamentals. Also, should be comfortable working in agile delivery environments and have some Scripting or automation capability (eg Python or Bash) to support efficiency and repeatability.
Apr 17, 2026
Contractor
We're seeking an experienced Security Engineer to join a multi-disciplinary delivery team working across several concurrent cloud workstreams. This role combines hands-on engineering with advisory responsibilities, ensuring security is Embedded throughout the platform without slowing delivery. This role is ideal for someone who can balance hands-on delivery with pragmatic security guidance, working collaboratively across teams to ensure secure and scalable outcomes. The task and experience needed: The primary focus will be on designing and implementing secure OCI tenancy configurations, both for new environments and existing platforms. You'll help establish robust, repeatable cloud foundations that enable scalable delivery across multiple workstreams. This includes defining secure baselines across IAM, networking, and core platform controls, while enabling services such as logging, monitoring, and Oracle Kubernetes Engine (OKE). You'll also play a key role in identifying security gaps and ensuring pragmatic, delivery-focused improvements. Need to have strong, hands-on experience with Oracle Cloud Infrastructure (OCI), particularly at the tenancy and foundational level. This includes designing compartments, implementing IAM policies and dynamic groups, and building secure networking architectures using VCNs, subnets, routing, and security controls. Be comfortable establishing secure baseline configurations and applying security services such as Cloud Guard, Security Zones, Vault, and WAF where appropriate. Experience with Terraform (ideally Terraform Cloud) and working within GitHub-based workflows is essential, as is a solid understanding of core cloud security principles like least privilege, segmentation, and encryption. Must have practical experience in logging and monitoring within OCI, including enabling logging services, defining retention strategies, and supporting audit and security visibility. Familiarity with integrating these into security operations-such as alerting and basic incident response-is important, along with working knowledge of Oracle Kubernetes Engine (OKE) and container security fundamentals. Also, should be comfortable working in agile delivery environments and have some Scripting or automation capability (eg Python or Bash) to support efficiency and repeatability.
Microsoft Security Architect (Purview) Join a leading Microsoft Cloud Security Partner delivering cutting-edge solutions across Purview, Sentinel, Defender, and Entra ID. We re looking for a hands-on, client-facing Security Engineer to lead enterprise-scale deployments from compliance to Zero Trust. Location: Hybrid London (1 2 days/week onsite) Salary: Up to £80,000 DOE What You ll Be Doing Architect and deploy Microsoft Purview (DLP, classification, compliance) Implement the Defender suite (Endpoint, Identity, Cloud Apps, Office 365) Build and tune Sentinel SIEM: analytics rules, playbooks, KQL, automation Design Zero Trust controls via Entra ID: Conditional Access, PIM, RBAC Lead client-facing workshops and contribute to presales and security strategy Create LLDs/HLDs, support compliance (e.g. Cyber Essentials), and manage onboarding into Managed Security Services Ideally you'll bring some of the following; Real-world experience deploying Microsoft Purview in enterprise environments Strong working knowledge of Purview - MUST HAVE Confident in client engagement, workshop delivery, and technical consultancy Proven skills in producing design documentation and guiding implementation Certifications (SC-400, AZ-500, SC-300, MS-500 Experience with SentinelOne, CrowdStrike, PowerShell/Python scripting Knowledge of Cyber Essentials or similar frameworks We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
Apr 17, 2026
Full time
Microsoft Security Architect (Purview) Join a leading Microsoft Cloud Security Partner delivering cutting-edge solutions across Purview, Sentinel, Defender, and Entra ID. We re looking for a hands-on, client-facing Security Engineer to lead enterprise-scale deployments from compliance to Zero Trust. Location: Hybrid London (1 2 days/week onsite) Salary: Up to £80,000 DOE What You ll Be Doing Architect and deploy Microsoft Purview (DLP, classification, compliance) Implement the Defender suite (Endpoint, Identity, Cloud Apps, Office 365) Build and tune Sentinel SIEM: analytics rules, playbooks, KQL, automation Design Zero Trust controls via Entra ID: Conditional Access, PIM, RBAC Lead client-facing workshops and contribute to presales and security strategy Create LLDs/HLDs, support compliance (e.g. Cyber Essentials), and manage onboarding into Managed Security Services Ideally you'll bring some of the following; Real-world experience deploying Microsoft Purview in enterprise environments Strong working knowledge of Purview - MUST HAVE Confident in client engagement, workshop delivery, and technical consultancy Proven skills in producing design documentation and guiding implementation Certifications (SC-400, AZ-500, SC-300, MS-500 Experience with SentinelOne, CrowdStrike, PowerShell/Python scripting Knowledge of Cyber Essentials or similar frameworks We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
Python Engineer - AI / ML - LLM / OCR - 6 month contract - outside IR35 I am looking for a UK based Python Engineer to join a busy project driving digital registration automation for our client in Edinburgh. This role focuses on leveraging advanced AI and ML technologies to enhance the automation of land registration tasks click apply for full job details
Apr 17, 2026
Contractor
Python Engineer - AI / ML - LLM / OCR - 6 month contract - outside IR35 I am looking for a UK based Python Engineer to join a busy project driving digital registration automation for our client in Edinburgh. This role focuses on leveraging advanced AI and ML technologies to enhance the automation of land registration tasks click apply for full job details
Python Engineer - Automation 6 Month Contract (Outside IR35) Hybrid, Edinburgh Starting ASAP Day Rate: £ About the Role: Harvey Nash's Pub Sec client is restructuring its software delivery model to create long-standing development teams aligned to core business domains, ensuring clear ownership of digital products. The Land Registration Automation team is responsible for analysing the probl click apply for full job details
Apr 17, 2026
Contractor
Python Engineer - Automation 6 Month Contract (Outside IR35) Hybrid, Edinburgh Starting ASAP Day Rate: £ About the Role: Harvey Nash's Pub Sec client is restructuring its software delivery model to create long-standing development teams aligned to core business domains, ensuring clear ownership of digital products. The Land Registration Automation team is responsible for analysing the probl click apply for full job details
GCP Infrastructure Engineer - 6-Month Contract (Inside IR35) - Hybrid (Multiple locations) We're looking for a Senior GCP Infrastructure DevOps Engineer to join our Public Cloud Platform and play a key role in delivering compliant, scalable and efficient Google Cloud infrastructure and DevOps capabilities across the Group. Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh Key Responsibilities: Deliver hands-on GCP cloud engineering with a strong background in DevOps and CI/CD. Design, curate and maintain scalable GCP Cloud Products using Infrastructure as Code (IaC). Develop automated workflows and tooling using Python Scripting. Work with GKE, containers, Istio service mesh and cluster management. Audit, optimise and refactor existing Terraform modules, state files and architectures. Migrate Legacy configurations into unified, reusable IaC templates. Implement security-focused Terraform modules with guardrails and policy-as-code (eg, Sentinel, OPA). What You Will Ideally Bring: Strong experience in GCP Cloud Engineering , GCP Infra , and GCP DevOps . Deep proficiency with Terraform/Terraform Cloud (IaC). Hands-on experience building GCP products, services and infrastructure. Solid Python Scripting and automation capabilities. Experience with Harness, Jenkins, GitHub or similar CI/CD tools. Expertise in GKE, Containers, Istio Service Mesh . Contract Details: Duration: 6 months (with potential extension) Day Rate: £500 (Inside IR35) Location: Multiple Locations to choose - Hybrid Start Date: ASAP
Apr 17, 2026
Contractor
GCP Infrastructure Engineer - 6-Month Contract (Inside IR35) - Hybrid (Multiple locations) We're looking for a Senior GCP Infrastructure DevOps Engineer to join our Public Cloud Platform and play a key role in delivering compliant, scalable and efficient Google Cloud infrastructure and DevOps capabilities across the Group. Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh Key Responsibilities: Deliver hands-on GCP cloud engineering with a strong background in DevOps and CI/CD. Design, curate and maintain scalable GCP Cloud Products using Infrastructure as Code (IaC). Develop automated workflows and tooling using Python Scripting. Work with GKE, containers, Istio service mesh and cluster management. Audit, optimise and refactor existing Terraform modules, state files and architectures. Migrate Legacy configurations into unified, reusable IaC templates. Implement security-focused Terraform modules with guardrails and policy-as-code (eg, Sentinel, OPA). What You Will Ideally Bring: Strong experience in GCP Cloud Engineering , GCP Infra , and GCP DevOps . Deep proficiency with Terraform/Terraform Cloud (IaC). Hands-on experience building GCP products, services and infrastructure. Solid Python Scripting and automation capabilities. Experience with Harness, Jenkins, GitHub or similar CI/CD tools. Expertise in GKE, Containers, Istio Service Mesh . Contract Details: Duration: 6 months (with potential extension) Day Rate: £500 (Inside IR35) Location: Multiple Locations to choose - Hybrid Start Date: ASAP
GCP Cloud Network Engineer - 6-Month Contract - Hybrid (Bristol, Leeds, Halifax, Manchester, or Edinburgh) We are looking for an experienced GCP Cloud Network Engineer to support teams in delivering modern, scalable cloud networking solutions on Google Cloud Platform. In this role, you'll help design, build, and modernise the Virtual Data Centre (VDC) network layer, curate reusable GCP cloud products using Infrastructure as Code (IaC), and drive best practices in cloud networking and DevOps automation. Key Responsibilities Design, implement, and manage GCP Virtual Data Centre (VDC) network architectures for enterprise workloads Configure and maintain VPCs, subnets, Firewall rules, routing, and VPC peering to ensure secure and scalable connectivity Implement hybrid connectivity solutions, including Cloud VPN and Interconnect, for on-prem and multi-cloud integration Develop and maintain Infrastructure as Code (IaC) for network resources using Terraform/Terraform Cloud Automate network provisioning and configuration using Python Scripting Enforce GCP Organisation Policies to meet security and compliance requirements (IP restrictions, encryption, access control) What You Will Ideally Bring Strong hands-on experience with GCP Networking (VPCs, subnets, Firewall rules, routing, peering) Proven expertise in Hybrid Connectivity (Cloud VPN, Interconnect) Solid experience using Terraform/Terraform Cloud for IaC Python Scripting for automation and orchestration Familiarity with CI/CD tools such as Jenkins, GitHub, or Harness Contract Details Duration: 6 months (with potential extension) Day Rate: Up to £500 per day (Inside IR35) Location: - Hybrid (2 days onsite per week) - Bristol, Leeds, Halifax, Manchester, or Edinburgh Start Date: ASAP
Apr 17, 2026
Contractor
GCP Cloud Network Engineer - 6-Month Contract - Hybrid (Bristol, Leeds, Halifax, Manchester, or Edinburgh) We are looking for an experienced GCP Cloud Network Engineer to support teams in delivering modern, scalable cloud networking solutions on Google Cloud Platform. In this role, you'll help design, build, and modernise the Virtual Data Centre (VDC) network layer, curate reusable GCP cloud products using Infrastructure as Code (IaC), and drive best practices in cloud networking and DevOps automation. Key Responsibilities Design, implement, and manage GCP Virtual Data Centre (VDC) network architectures for enterprise workloads Configure and maintain VPCs, subnets, Firewall rules, routing, and VPC peering to ensure secure and scalable connectivity Implement hybrid connectivity solutions, including Cloud VPN and Interconnect, for on-prem and multi-cloud integration Develop and maintain Infrastructure as Code (IaC) for network resources using Terraform/Terraform Cloud Automate network provisioning and configuration using Python Scripting Enforce GCP Organisation Policies to meet security and compliance requirements (IP restrictions, encryption, access control) What You Will Ideally Bring Strong hands-on experience with GCP Networking (VPCs, subnets, Firewall rules, routing, peering) Proven expertise in Hybrid Connectivity (Cloud VPN, Interconnect) Solid experience using Terraform/Terraform Cloud for IaC Python Scripting for automation and orchestration Familiarity with CI/CD tools such as Jenkins, GitHub, or Harness Contract Details Duration: 6 months (with potential extension) Day Rate: Up to £500 per day (Inside IR35) Location: - Hybrid (2 days onsite per week) - Bristol, Leeds, Halifax, Manchester, or Edinburgh Start Date: ASAP
AI Solutions Engineer Our client is a fast-growing, award-winning UK business with a strong reputation for both performance and employee satisfaction. They are investing heavily in AI and automation, with a number of internal tools already in place and ambitious plans to expand further. The Role This is a hands-on role focused on turning business challenges into practical solutions. You ll build and deploy tools, automate workflows, and develop dashboards that improve efficiency across the organisation. Working closely with both technical and non-technical teams, you ll identify opportunities for improvement and deliver scalable, AI-assisted solutions. This is a visible role requiring strong communication skills and a proactive, problem-solving mindset. Key Responsibilities Analyse business processes and identify automation opportunities Build internal tools, dashboards, and data pipelines Integrate systems using APIs and data feeds Develop AI-powered features to improve workflows and insights Support rollout, training, and ongoing system improvements About You 3 5 years experience in a technical role (development, data, or solutions) Strong understanding of programming concepts and integrations Experience working with APIs, data, and databases Familiarity with AI tools and where they add value Confident communicator, able to work with non-technical stakeholders Self-sufficient, solutions-focused, and comfortable owning projects Experience with Laravel, Python, or similar- though we are genuinely language-agnostic given our AI-assisted approach What s on Offer High-impact role with real ownership Opportunity to shape AI and automation strategy Collaborative, supportive team environment A business actively investing in technology and innovation Benefits: Excellent career development Training budget Hybrid working - 1- 2 days office based Interested? Please Click Apply Now AI Solutions Engineer
Apr 17, 2026
Full time
AI Solutions Engineer Our client is a fast-growing, award-winning UK business with a strong reputation for both performance and employee satisfaction. They are investing heavily in AI and automation, with a number of internal tools already in place and ambitious plans to expand further. The Role This is a hands-on role focused on turning business challenges into practical solutions. You ll build and deploy tools, automate workflows, and develop dashboards that improve efficiency across the organisation. Working closely with both technical and non-technical teams, you ll identify opportunities for improvement and deliver scalable, AI-assisted solutions. This is a visible role requiring strong communication skills and a proactive, problem-solving mindset. Key Responsibilities Analyse business processes and identify automation opportunities Build internal tools, dashboards, and data pipelines Integrate systems using APIs and data feeds Develop AI-powered features to improve workflows and insights Support rollout, training, and ongoing system improvements About You 3 5 years experience in a technical role (development, data, or solutions) Strong understanding of programming concepts and integrations Experience working with APIs, data, and databases Familiarity with AI tools and where they add value Confident communicator, able to work with non-technical stakeholders Self-sufficient, solutions-focused, and comfortable owning projects Experience with Laravel, Python, or similar- though we are genuinely language-agnostic given our AI-assisted approach What s on Offer High-impact role with real ownership Opportunity to shape AI and automation strategy Collaborative, supportive team environment A business actively investing in technology and innovation Benefits: Excellent career development Training budget Hybrid working - 1- 2 days office based Interested? Please Click Apply Now AI Solutions Engineer
Role Title: IP Network Architect Location: Reading/Hybrid Role Overview The IP Design Specialist (Architect) plays a pivotal role in shaping the future of network design and strategy across a diverse portfolio of technologies including IP/MPLS networks, hybrid cloud platforms, and next-gen mobile infrastructure. This senior technical leader is responsible for high-level architectural direction, cross-domain integration, and setting design standards that support critical transformation and growth initiatives across the organisation. Key Responsibilities Lead strategic IP network architecture efforts across LAN/WAN, MPLS core, cloud networking, and virtualized network functions (VNF/CNF). Develop and govern HLDs (High-Level Designs) ensuring alignment with enterprise architecture and business objectives. Collaborate with CTO, Product, and Infrastructure teams to define architectural blueprints and long-term roadmaps. Act as SME for critical technologies such as SDN, NFV, service chaining, and Cloud-native networking. Guide and mentor designers and engineers in complex solution development and design best practices. Define and enforce network design standards, patterns, and reusable components across the enterprise. Evaluate emerging technologies and vendor solutions, supporting innovation and network evolution. Lead cross-functional design assurance and technical steering groups. Essential Skills & Qualifications Senior-level expertise in service provider routing, large-scale MPLS, BGP, multitenant network design. Strong experience architecting both traditional infrastructure and cloud-based (OpenStack, AWS, Azure) networking. In-depth knowledge of modern network architectures, including microservices, API-driven platforms, and DevOps integration. Experience in enterprise security and network segmentation best practices. Familiarity with network automation and orchestration: Ansible, Python, Netconf/YANG, REST APIs. Excellent strategic thinking, documentation, and stakeholder communication skills. Desirable Certifications CCIE/JNCIE/SRA or equivalent level of demonstrable experience. TOGAF, AWS Solution Architect, or equivalent enterprise architecture certification is advantageous
Apr 17, 2026
Contractor
Role Title: IP Network Architect Location: Reading/Hybrid Role Overview The IP Design Specialist (Architect) plays a pivotal role in shaping the future of network design and strategy across a diverse portfolio of technologies including IP/MPLS networks, hybrid cloud platforms, and next-gen mobile infrastructure. This senior technical leader is responsible for high-level architectural direction, cross-domain integration, and setting design standards that support critical transformation and growth initiatives across the organisation. Key Responsibilities Lead strategic IP network architecture efforts across LAN/WAN, MPLS core, cloud networking, and virtualized network functions (VNF/CNF). Develop and govern HLDs (High-Level Designs) ensuring alignment with enterprise architecture and business objectives. Collaborate with CTO, Product, and Infrastructure teams to define architectural blueprints and long-term roadmaps. Act as SME for critical technologies such as SDN, NFV, service chaining, and Cloud-native networking. Guide and mentor designers and engineers in complex solution development and design best practices. Define and enforce network design standards, patterns, and reusable components across the enterprise. Evaluate emerging technologies and vendor solutions, supporting innovation and network evolution. Lead cross-functional design assurance and technical steering groups. Essential Skills & Qualifications Senior-level expertise in service provider routing, large-scale MPLS, BGP, multitenant network design. Strong experience architecting both traditional infrastructure and cloud-based (OpenStack, AWS, Azure) networking. In-depth knowledge of modern network architectures, including microservices, API-driven platforms, and DevOps integration. Experience in enterprise security and network segmentation best practices. Familiarity with network automation and orchestration: Ansible, Python, Netconf/YANG, REST APIs. Excellent strategic thinking, documentation, and stakeholder communication skills. Desirable Certifications CCIE/JNCIE/SRA or equivalent level of demonstrable experience. TOGAF, AWS Solution Architect, or equivalent enterprise architecture certification is advantageous
Role: Automation Engineer Job location: Telford, UK (Hybrid) Jib type: Full time Mandatory: Automation Tester Responsibilities Define and evolve the automation approach for your product area, ensuring we test the right things at the right layers (API, UI, contract, component, etc.). Identify weak spots in our quality pipeline and introduce tools or techniques that tighten feedback loops. Drive continuous improvement of automation frameworks-making them cleaner, faster, and easier for others to build on. Lead the design, development, and maintenance of test automation frameworks and scripts Define automation strategies, standards, and best practices to ensure consistency across QA teams Collaborate with development, DevOps, and business teams to integrate automation into continuous delivery pipelines Integrate automation deeply into pipelines; optimise parallel runs and ensure deterministic, stable outputs. Investigate flaky tests, eliminate root causes, and enforce reliability standards. Provide meaningful reporting that highlights real risks, not just raw numbers. Conduct code reviews of automation scripts and provide mentorship to junior and mid-level automation engineers Develop reusable components, utilities, and libraries to improve efficiency and maintainability of test automation assets Analyze and troubleshoot complex automation failures, identifying root causes and corrective actions Provide technical input into test planning, estimation, and overall QA strategy Evaluate and recommend automation tools and technologies that align with enterprise architecture Track and report on automation progress and performance metrics to QA leadership Ensure alignment of automation testing activities with compliance and security requirements relevant to healthcare data systems Collaborate with peers to enhance automation coverage for API, UI, batch, and Back End testing layers Guide mid-level and junior QA/SDET engineers, reviewing their test code and helping them grow. Run short learning sessions on testing techniques, automation frameworks, and debugging skills. Promote good habits like clean test coding, reliable assertions, and defensible test structure. Champion test automation adoption and continuous improvement initiatives across QA and development teams Advocate for shifts-left behaviours such as early test case design, contract validation, and exploratory testing. Recommend improvements to engineering workflows, branching strategies, and test environment usage. Bring fresh ideas from industry trends-new frameworks, patterns, and tooling that could elevate quality Qualification & Technical Skills: Required Qualifications Bachelor's or master's degree in computer science, Information Systems, or related field 8+ years of experience in software testing 5 years in automation-focused roles Proven expertise in designing and maintaining automation frameworks (Selenium, Cypress, Tosca, Playwright, or UFT) Exposure to dashboard tools like Grafana etc is good to have. Expertise in automation tools like Selenium, Cypress, Playwright, Cucumber, Postman, Restassured etc. Expertise in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps pipelines etc. Expertise in performance testing tools like JMeter, Gatling, LoadRunner etc. Working knowledge of security testing tools like SonarQube, OWASP ZAP, Burp Suite, Prowler, Kali Linux, Fortify, Veracode, Teneble.io, Jfrog Xray etc. Strong programming proficiency in Java and Python Solid understanding of CI/CD practices, with hands-on experience integrating automated tests into pipelines (eg, Jenkins, Azure DevOps) Deep understanding of SDLC, STLC, and Agile methodologies Proficient in database validation and complex SQL Scripting Experience leading automation initiatives for large, multi-tiered enterprise or healthcare systems
Apr 17, 2026
Full time
Role: Automation Engineer Job location: Telford, UK (Hybrid) Jib type: Full time Mandatory: Automation Tester Responsibilities Define and evolve the automation approach for your product area, ensuring we test the right things at the right layers (API, UI, contract, component, etc.). Identify weak spots in our quality pipeline and introduce tools or techniques that tighten feedback loops. Drive continuous improvement of automation frameworks-making them cleaner, faster, and easier for others to build on. Lead the design, development, and maintenance of test automation frameworks and scripts Define automation strategies, standards, and best practices to ensure consistency across QA teams Collaborate with development, DevOps, and business teams to integrate automation into continuous delivery pipelines Integrate automation deeply into pipelines; optimise parallel runs and ensure deterministic, stable outputs. Investigate flaky tests, eliminate root causes, and enforce reliability standards. Provide meaningful reporting that highlights real risks, not just raw numbers. Conduct code reviews of automation scripts and provide mentorship to junior and mid-level automation engineers Develop reusable components, utilities, and libraries to improve efficiency and maintainability of test automation assets Analyze and troubleshoot complex automation failures, identifying root causes and corrective actions Provide technical input into test planning, estimation, and overall QA strategy Evaluate and recommend automation tools and technologies that align with enterprise architecture Track and report on automation progress and performance metrics to QA leadership Ensure alignment of automation testing activities with compliance and security requirements relevant to healthcare data systems Collaborate with peers to enhance automation coverage for API, UI, batch, and Back End testing layers Guide mid-level and junior QA/SDET engineers, reviewing their test code and helping them grow. Run short learning sessions on testing techniques, automation frameworks, and debugging skills. Promote good habits like clean test coding, reliable assertions, and defensible test structure. Champion test automation adoption and continuous improvement initiatives across QA and development teams Advocate for shifts-left behaviours such as early test case design, contract validation, and exploratory testing. Recommend improvements to engineering workflows, branching strategies, and test environment usage. Bring fresh ideas from industry trends-new frameworks, patterns, and tooling that could elevate quality Qualification & Technical Skills: Required Qualifications Bachelor's or master's degree in computer science, Information Systems, or related field 8+ years of experience in software testing 5 years in automation-focused roles Proven expertise in designing and maintaining automation frameworks (Selenium, Cypress, Tosca, Playwright, or UFT) Exposure to dashboard tools like Grafana etc is good to have. Expertise in automation tools like Selenium, Cypress, Playwright, Cucumber, Postman, Restassured etc. Expertise in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps pipelines etc. Expertise in performance testing tools like JMeter, Gatling, LoadRunner etc. Working knowledge of security testing tools like SonarQube, OWASP ZAP, Burp Suite, Prowler, Kali Linux, Fortify, Veracode, Teneble.io, Jfrog Xray etc. Strong programming proficiency in Java and Python Solid understanding of CI/CD practices, with hands-on experience integrating automated tests into pipelines (eg, Jenkins, Azure DevOps) Deep understanding of SDLC, STLC, and Agile methodologies Proficient in database validation and complex SQL Scripting Experience leading automation initiatives for large, multi-tiered enterprise or healthcare systems
Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
Apr 17, 2026
Full time
Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
Power Platform Developer Offshore Engineering Consultancy Energy Sector Paying between £, depending on experience. Our client, a well-established Offshore Engineering consultancy operating across the wider energy sector, is seeking a Power Platform Developer to support their ongoing digital transformation. This is an excellent opportunity to become the organisation's first in-house developer, helping to modernise internal processes and contribute to innovative tools delivered to their clients in offshore wind, pipelines, and oil & gas production. The business employs around 45-50 permanent staff, supplemented by 20-30 contractors depending on project requirements. Their teams span various engineering and project management disciplines, working on complex offshore structures and major industry projects. As the Power Platform Developer, you will be instrumental in improving internal processes, automating manual workflows, and supporting the company's progression towards more modern, efficient systems. You will also contribute to the development of client-facing tools as the organisation expands into more digitally-driven engineering solutions. Key Responsibilities Develop and maintain solutions across the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI. Digitise existing manual processes and streamline internal workflows. Design and develop solutions in Canvas and Model Driven apps Work closely with Engineers and Project Managers to understand requirements and translate technical logic into practical solutions. Support the creation of tools and applications used directly by external clients. Assist with modernising legacy systems and improving data processing and document management workflows. Produce Power BI dashboards and reports where required. Skills & Experience Essential: Strong practical experience with the Microsoft Power Platform. Ability to gather requirements and collaborate effectively with non-technical teams. A proactive, generalist skill set with the ability to pick up new technologies quickly. Confidence with Power BI for basic reporting and visualisation. Desirable: Knowledge of JavaScript or Python. Experience with SQL or other database environments. Exposure to API integrations or automation workflows. Must be eligible to work in the UK. Paying up to £55,000, depending on experience. Hybrid - 3 days per week in their Southampton based office.
Apr 17, 2026
Full time
Power Platform Developer Offshore Engineering Consultancy Energy Sector Paying between £, depending on experience. Our client, a well-established Offshore Engineering consultancy operating across the wider energy sector, is seeking a Power Platform Developer to support their ongoing digital transformation. This is an excellent opportunity to become the organisation's first in-house developer, helping to modernise internal processes and contribute to innovative tools delivered to their clients in offshore wind, pipelines, and oil & gas production. The business employs around 45-50 permanent staff, supplemented by 20-30 contractors depending on project requirements. Their teams span various engineering and project management disciplines, working on complex offshore structures and major industry projects. As the Power Platform Developer, you will be instrumental in improving internal processes, automating manual workflows, and supporting the company's progression towards more modern, efficient systems. You will also contribute to the development of client-facing tools as the organisation expands into more digitally-driven engineering solutions. Key Responsibilities Develop and maintain solutions across the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI. Digitise existing manual processes and streamline internal workflows. Design and develop solutions in Canvas and Model Driven apps Work closely with Engineers and Project Managers to understand requirements and translate technical logic into practical solutions. Support the creation of tools and applications used directly by external clients. Assist with modernising legacy systems and improving data processing and document management workflows. Produce Power BI dashboards and reports where required. Skills & Experience Essential: Strong practical experience with the Microsoft Power Platform. Ability to gather requirements and collaborate effectively with non-technical teams. A proactive, generalist skill set with the ability to pick up new technologies quickly. Confidence with Power BI for basic reporting and visualisation. Desirable: Knowledge of JavaScript or Python. Experience with SQL or other database environments. Exposure to API integrations or automation workflows. Must be eligible to work in the UK. Paying up to £55,000, depending on experience. Hybrid - 3 days per week in their Southampton based office.
We are currently recruiting for a Lead Structural Engineer to join a leading global defence organisation at their Ampthill site. This is an exciting opportunity to work within a highly dynamic engineering environment supporting cutting-edge programmes across platform integration, air defence, and advanced weapons systems. This role sits within the Structural Integrity Group and will see you operating as a technical specialist, delivering high-quality structural analysis across a wide range of complex systems. The Role As a Structural Integrity Engineer, you will: Develop and validate high-fidelity finite element models across metallic and composite structures Perform static, dynamic, thermal, vibration, and fatigue analyses Conduct damage tolerance and durability assessments Produce clear strength summaries, reports, and risk assessments aligned to MoD standards Translate analysis outputs into manufacturing and inspection requirements Support design reviews, client engagements, and technical audits Drive continuous improvement through tools, automation, and modelling processes Key Requirements Degree-qualified (BEng or equivalent) in Mechanical or Aerospace Engineering Strong background in structural analysis (5+ years in industry) Proven experience with MSC Nastran and associated pre/post-processing tools (Patran, Simcenter, ANSA, etc.) Solid understanding of linear and non-linear analysis methods Experience with fatigue, stress analysis, and hand calculations Knowledge of metallic materials (aluminium, titanium, steel) and exposure to composites Scripting experience (Python or similar) and familiarity with HPC environments is advantageous Strong communication skills and ability to work cross-functionally Additional Information Hybrid working: On-site Mondays and Tuesdays, remote remainder (subject to business needs) Candidates must be eligible to obtain Security Clearance (SC) and be willing to progress to Developed Vetting (DV) Opportunity to work a compressed 4-day week with flexible arrangements Initial start on BPSS, with full-time on-site requirement once DV is achieved This is a fantastic opportunity to contribute to high-profile defence projects while working in a collaborative and forward-thinking engineering team.
Apr 17, 2026
Contractor
We are currently recruiting for a Lead Structural Engineer to join a leading global defence organisation at their Ampthill site. This is an exciting opportunity to work within a highly dynamic engineering environment supporting cutting-edge programmes across platform integration, air defence, and advanced weapons systems. This role sits within the Structural Integrity Group and will see you operating as a technical specialist, delivering high-quality structural analysis across a wide range of complex systems. The Role As a Structural Integrity Engineer, you will: Develop and validate high-fidelity finite element models across metallic and composite structures Perform static, dynamic, thermal, vibration, and fatigue analyses Conduct damage tolerance and durability assessments Produce clear strength summaries, reports, and risk assessments aligned to MoD standards Translate analysis outputs into manufacturing and inspection requirements Support design reviews, client engagements, and technical audits Drive continuous improvement through tools, automation, and modelling processes Key Requirements Degree-qualified (BEng or equivalent) in Mechanical or Aerospace Engineering Strong background in structural analysis (5+ years in industry) Proven experience with MSC Nastran and associated pre/post-processing tools (Patran, Simcenter, ANSA, etc.) Solid understanding of linear and non-linear analysis methods Experience with fatigue, stress analysis, and hand calculations Knowledge of metallic materials (aluminium, titanium, steel) and exposure to composites Scripting experience (Python or similar) and familiarity with HPC environments is advantageous Strong communication skills and ability to work cross-functionally Additional Information Hybrid working: On-site Mondays and Tuesdays, remote remainder (subject to business needs) Candidates must be eligible to obtain Security Clearance (SC) and be willing to progress to Developed Vetting (DV) Opportunity to work a compressed 4-day week with flexible arrangements Initial start on BPSS, with full-time on-site requirement once DV is achieved This is a fantastic opportunity to contribute to high-profile defence projects while working in a collaborative and forward-thinking engineering team.
Site Reliability Engineer Central London (3 days a week in the office) Up to £70,000 per annum + Bonus + Generous Benefits Package We are working with an exciting technology company that are looking to bring in a Site Reliability Engineer to help scale their cloud infrastructure and DevOps capability. They've built a high-performing engineering team and are now investing further into the platform side of things as demand grows. Think modern, cloud-native architecture, and a real emphasis on automation, scalability, and developer enablement. You'll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Monitoring and Observability Grafana, Prometheus, Datadog Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python, Bash or Go (scripting, automation) GitHub Actions (CI/CD pipelines) What They're Looking For Experience in AWS cloud infrastructure (ideally in a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python, Bash or Go A good communicator who enjoys working collaboratively across product and engineering. Desirable Certifications - CKA, CKAD, AWS Solutions Architect etc. The client is willing to consider candidates without all the required skills and provide an environment to learn and grow on the job. Training and development is at the forefront of the business, where you will get plenty of opportunities to progress your career in whatever path you want. Site Reliability Engineer Central London (3 days a week in the office) Up to £70,000 per annum + Bonus + Generous Benefits Package Click APPLY NOW to be considered for this position! AWS, SRE, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc.
Apr 17, 2026
Full time
Site Reliability Engineer Central London (3 days a week in the office) Up to £70,000 per annum + Bonus + Generous Benefits Package We are working with an exciting technology company that are looking to bring in a Site Reliability Engineer to help scale their cloud infrastructure and DevOps capability. They've built a high-performing engineering team and are now investing further into the platform side of things as demand grows. Think modern, cloud-native architecture, and a real emphasis on automation, scalability, and developer enablement. You'll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Monitoring and Observability Grafana, Prometheus, Datadog Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python, Bash or Go (scripting, automation) GitHub Actions (CI/CD pipelines) What They're Looking For Experience in AWS cloud infrastructure (ideally in a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python, Bash or Go A good communicator who enjoys working collaboratively across product and engineering. Desirable Certifications - CKA, CKAD, AWS Solutions Architect etc. The client is willing to consider candidates without all the required skills and provide an environment to learn and grow on the job. Training and development is at the forefront of the business, where you will get plenty of opportunities to progress your career in whatever path you want. Site Reliability Engineer Central London (3 days a week in the office) Up to £70,000 per annum + Bonus + Generous Benefits Package Click APPLY NOW to be considered for this position! AWS, SRE, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc.
Data Engineer Fully Remote 50,000 - 65,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car / Allowance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Apr 16, 2026
Full time
Data Engineer Fully Remote 50,000 - 65,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car / Allowance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
Apr 16, 2026
Full time
Senior GCP VDC Network Engineer Salary: up to £90,000 + Bonus + Benefits Location: Manchester - 2/3 days onsite Working Hours: 40 hours per week A globally established organisation is seeking a Senior GCP VDC Network Engineer to join a Public Cloud Platform function, driving scalable, secure and compliant Google Cloud networking solutions across enterprise environments. This is a senior, hands-on engineering role focused on designing and modernising cloud network services while enabling rapid, seamless cloud adoption. The for the Senior GCP VDC Network Engineer position is suited to an experienced GCP networking specialist who combines deep technical capability with strong collaboration skills, enjoys working in cross-functional feature teams and can lead technical growth within engineering environments. Responsibilities for the Senior GCP VDC Network Engineer: Design, implement and manage GCP Virtual Data Centre network architecture for enterprise workloads Configure and maintain VPCs, subnets, firewalls, routing and peering for secure and scalable connectivity Implement hybrid connectivity solutions including Cloud VPN and Interconnect for on-premise and multi-cloud integration Develop and manage Infrastructure as Code for network resources using Terraform and Terraform Cloud Automate network provisioning and configuration workflows using Python Enforce GCP organisation policies covering network security, encryption and access control Integrate network deployments into CI/CD pipelines to enable automated provisioning and updates Implement policy-as-code guardrails for network governance Optimise network performance, reliability and resilience through monitoring and proactive tuning Collaborate with security teams to implement best practice network controls Support migration of legacy network configurations into unified, reusable templates Troubleshoot and resolve complex networking issues across GCP VDC environments Provide technical leadership and mentoring to engineers within the team Essential Skills for the Senior GCP VDC Network Engineer: Strong hands-on experience with GCP networking including VPCs, subnets, firewalls, routing and peering Proven experience delivering hybrid connectivity using Cloud VPN and Interconnect Strong Infrastructure as Code expertise using Terraform and Terraform Cloud Python scripting for automation and tooling Experience integrating network automation into CI/CD pipelines Knowledge of GCP organisation policies and policy-as-code frameworks GCP certification, ideally Professional Cloud Network Engineer Desirable Skills for the Senior GCP VDC Network Engineer: Experience with enterprise cloud engineering platforms Strong stakeholder engagement and communication capability Experience operating as a senior SME within cloud engineering teams If you are an experienced GCP Network Engineer with strong cloud architecture and automation expertise, looking to lead scalable enterprise cloud networking initiatives, please apply in the immediate instance.
Senior Backend Python & AI Engineer London | Full-time Central London £100,000 - £140,000 + Bonus 5 Days a week in Office Join a fast-growing AI startup tackling the global healthcare workforce crisis using cutting-edge automation. Founded by experienced leaders with strong industry traction, the team is building systems that deliver real impact at scale. The Role Build secure, high-performance Back End systems powering AI-driven healthcare operations. You'll design infrastructure for Real Time task execution, observability, and integrations with complex systems, working closely with product and AI teams. Key Requirements 5+ years in Back End or full-stack engineering Experience with Python frameworks (eg FastAPI, Django, Flask) Strong understanding of distributed systems, concurrency, and task orchestration Experience with SQL/NoSQL databases and authentication systems Familiarity with CI/CD, Docker, and cloud environments Why Join Mission-driven work with real-world impact Early-stage role with strong ownership Fast-paced, high-calibre team
Apr 16, 2026
Full time
Senior Backend Python & AI Engineer London | Full-time Central London £100,000 - £140,000 + Bonus 5 Days a week in Office Join a fast-growing AI startup tackling the global healthcare workforce crisis using cutting-edge automation. Founded by experienced leaders with strong industry traction, the team is building systems that deliver real impact at scale. The Role Build secure, high-performance Back End systems powering AI-driven healthcare operations. You'll design infrastructure for Real Time task execution, observability, and integrations with complex systems, working closely with product and AI teams. Key Requirements 5+ years in Back End or full-stack engineering Experience with Python frameworks (eg FastAPI, Django, Flask) Strong understanding of distributed systems, concurrency, and task orchestration Experience with SQL/NoSQL databases and authentication systems Familiarity with CI/CD, Docker, and cloud environments Why Join Mission-driven work with real-world impact Early-stage role with strong ownership Fast-paced, high-calibre team
About Us At Plentific, we're redefining property management in real time. Our mission is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way. Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting-edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows. Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem-solving skills and ability to collaborate in cross-functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Apr 16, 2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way. Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting-edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows. Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer-facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem-solving skills and ability to collaborate in cross-functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Intelligent Automation Engineer Hybrid: 2 days per week in the office (London) Permanent Paying up to 95,000 + bonus Experis are partnering with a leading organisation undergoing a significant digital and AI transformation. As part of this journey, they are investing in building out their Intelligent Automation capability, with a strong focus on AI-powered workflows, copilots and enterprise automation. This is a hands-on role where you'll design, build and deploy AI-driven automations that improve efficiency, decision-making and user experience across the business. You'll work at the intersection of AI, automation and enterprise systems, helping to move the organisation towards an "AI-first" approach to solving business problems. What You'll Be Doing Designing and building AI-powered copilots and agents to automate business processes end-to-end Developing Generative AI workflows using Azure OpenAI and Retrieval-Augmented Generation (RAG) Building and deploying automation solutions using Power Automate and Power Apps Integrating AI solutions with enterprise systems (CRM, M365, APIs, data platforms) Ensuring solutions are secure, scalable and aligned with governance and compliance standards Monitoring, testing and continuously improving automation solutions based on usage and feedback Collaborating with business stakeholders to identify high-value automation opportunities Contributing to best practices, standards and the overall maturity of the automation capability Experience Required Proven experience building automation solutions using Power Platform and/or RPA tools Hands-on experience developing AI agents, copilots or Generative AI solutions Strong understanding of Azure services, particularly Azure OpenAI Experience integrating systems via APIs and working with enterprise data Solid understanding of security, governance and data protection principles Ability to translate business requirements into scalable technical solutions Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated environments
Apr 16, 2026
Full time
Intelligent Automation Engineer Hybrid: 2 days per week in the office (London) Permanent Paying up to 95,000 + bonus Experis are partnering with a leading organisation undergoing a significant digital and AI transformation. As part of this journey, they are investing in building out their Intelligent Automation capability, with a strong focus on AI-powered workflows, copilots and enterprise automation. This is a hands-on role where you'll design, build and deploy AI-driven automations that improve efficiency, decision-making and user experience across the business. You'll work at the intersection of AI, automation and enterprise systems, helping to move the organisation towards an "AI-first" approach to solving business problems. What You'll Be Doing Designing and building AI-powered copilots and agents to automate business processes end-to-end Developing Generative AI workflows using Azure OpenAI and Retrieval-Augmented Generation (RAG) Building and deploying automation solutions using Power Automate and Power Apps Integrating AI solutions with enterprise systems (CRM, M365, APIs, data platforms) Ensuring solutions are secure, scalable and aligned with governance and compliance standards Monitoring, testing and continuously improving automation solutions based on usage and feedback Collaborating with business stakeholders to identify high-value automation opportunities Contributing to best practices, standards and the overall maturity of the automation capability Experience Required Proven experience building automation solutions using Power Platform and/or RPA tools Hands-on experience developing AI agents, copilots or Generative AI solutions Strong understanding of Azure services, particularly Azure OpenAI Experience integrating systems via APIs and working with enterprise data Solid understanding of security, governance and data protection principles Ability to translate business requirements into scalable technical solutions Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated environments
Site Reliability Engineer (SRE) - Active SC required! Up to £55,000 + benefits Hybrid (UK-based) We're looking for a Site Reliability Engineer to join a growing technology team delivering highly scalable, resilient systems across a range of enterprise environments. This is a fantastic opportunity for someone with a solid foundation in DevOps/SRE practices who wants to deepen their expertise in automation, reliability, and cloud-native technologies. What you'll be doing: Supporting the reliability, availability, and performance of production systems Monitoring applications and infrastructure, responding to incidents and driving resolution Automating manual processes to improve efficiency and reduce risk Collaborating with engineering teams to improve system design and resilience Contributing to CI/CD pipelines and infrastructure-as-code practices What we're looking for: Experience in an SRE, DevOps, or similar engineering role Knowledge of cloud platforms (AWS, Azure, or GCP) Familiarity with monitoring/logging tools (e.g. Prometheus, Grafana, ELK) Scripting or programming skills (e.g. Python, Bash, Go) Understanding of containers and orchestration (Docker/Kubernetes is a plus) Why apply? Work with modern, cloud-native technologies Supportive environment with strong learning and development opportunities Clear progression path into senior SRE roles
Apr 16, 2026
Full time
Site Reliability Engineer (SRE) - Active SC required! Up to £55,000 + benefits Hybrid (UK-based) We're looking for a Site Reliability Engineer to join a growing technology team delivering highly scalable, resilient systems across a range of enterprise environments. This is a fantastic opportunity for someone with a solid foundation in DevOps/SRE practices who wants to deepen their expertise in automation, reliability, and cloud-native technologies. What you'll be doing: Supporting the reliability, availability, and performance of production systems Monitoring applications and infrastructure, responding to incidents and driving resolution Automating manual processes to improve efficiency and reduce risk Collaborating with engineering teams to improve system design and resilience Contributing to CI/CD pipelines and infrastructure-as-code practices What we're looking for: Experience in an SRE, DevOps, or similar engineering role Knowledge of cloud platforms (AWS, Azure, or GCP) Familiarity with monitoring/logging tools (e.g. Prometheus, Grafana, ELK) Scripting or programming skills (e.g. Python, Bash, Go) Understanding of containers and orchestration (Docker/Kubernetes is a plus) Why apply? Work with modern, cloud-native technologies Supportive environment with strong learning and development opportunities Clear progression path into senior SRE roles
Senior Site Reliability Engineer - Active SC Required! Up to £75,000 + benefits Wokingham - Hybrid (UK-based) We're seeking a Senior Site Reliability Engineer to play a key role in designing and operating highly reliable, scalable systems in a fast-paced environment. You'll act as a technical leader within the team, driving best practices across reliability engineering, automation, and system performance. What you'll be doing: Designing and improving system reliability, scalability, and observability Leading incident management and driving root cause analysis Building and maintaining robust CI/CD pipelines and automation frameworks Partnering with development teams to embed SRE principles into the SDLC Mentoring junior engineers and promoting engineering best practices What we're looking for: Strong experience in SRE, DevOps, or platform engineering roles Deep understanding of cloud infrastructure (AWS, Azure, or GCP) Hands-on experience with Kubernetes and containerised environments Strong scripting/programming skills (Python, Go, or similar) Experience with monitoring, alerting, and observability tooling Proven ability to troubleshoot complex distributed systems Why apply? Opportunity to influence technical direction and best practices Work on large-scale, mission-critical systems Leadership exposure with clear progression to principal level
Apr 16, 2026
Full time
Senior Site Reliability Engineer - Active SC Required! Up to £75,000 + benefits Wokingham - Hybrid (UK-based) We're seeking a Senior Site Reliability Engineer to play a key role in designing and operating highly reliable, scalable systems in a fast-paced environment. You'll act as a technical leader within the team, driving best practices across reliability engineering, automation, and system performance. What you'll be doing: Designing and improving system reliability, scalability, and observability Leading incident management and driving root cause analysis Building and maintaining robust CI/CD pipelines and automation frameworks Partnering with development teams to embed SRE principles into the SDLC Mentoring junior engineers and promoting engineering best practices What we're looking for: Strong experience in SRE, DevOps, or platform engineering roles Deep understanding of cloud infrastructure (AWS, Azure, or GCP) Hands-on experience with Kubernetes and containerised environments Strong scripting/programming skills (Python, Go, or similar) Experience with monitoring, alerting, and observability tooling Proven ability to troubleshoot complex distributed systems Why apply? Opportunity to influence technical direction and best practices Work on large-scale, mission-critical systems Leadership exposure with clear progression to principal level
