230 jobs found

Senior Azure Platform Engineer - Farnborough (Hybrid) - SC Cleared - Salary up to 65,000 We're looking for a Senior Azure Platform Engineer to join a growing engineering team delivering secure, cloud-native platforms for highly regulated and mission-critical environments. This is an opportunity to work with modern Azure technologies, Kubernetes, Infrastructure as Code and automation, helping to build resilient platforms that support some of the UK's most important programmes. The Role As a Senior Azure Platform Engineer, you'll take ownership of designing, building and supporting secure Azure infrastructure while working alongside architects, software engineers and delivery teams to create scalable, resilient cloud platforms. You'll play a key role in improving platform reliability, security and automation while helping shape technical direction across cloud infrastructure. What You'll Be Doing Designing and maintaining Azure infrastructure across Kubernetes, Virtual Machines, networking, storage and databases Building secure hybrid and multi-cloud connectivity using technologies such as Virtual WAN, VPNs and BGP routing Implementing Azure security best practices including RBAC, Key Vault, Defender for Cloud and network segmentation Designing and maintaining Kubernetes environments for secure, scalable application deployments Building and improving CI/CD pipelines to accelerate software delivery Developing Infrastructure as Code solutions using Terraform and automation tooling Implementing monitoring and observability across cloud platforms Driving automation initiatives to improve operational efficiency and reduce manual effort Supporting engineering teams with platform best practices and cloud adoption Continuously improving platform performance, resilience and security as the environment evolves. What We're Looking For You'll ideally have: 5+ years' experience in Platform Engineering, Site Reliability Engineering or similar cloud infrastructure roles Strong Azure expertise, ideally supported by AZ-104 and AZ-305 certifications Excellent knowledge of Azure networking including Virtual WAN, ExpressRoute, VPN Gateways, BGP, NSGs and Private Endpoints Strong Kubernetes and container orchestration experience Experience with Terraform and HashiCorp tooling such as Vault or Packer Experience building CI/CD pipelines using GitHub Actions, GitLab CI/CD or similar Strong Git and version control knowledge A passion for automation and modern DevOps practices Excellent communication skills with the ability to work across multidisciplinary teams Experience with JFrog products, Coder or additional cloud platforms such as AWS or Google Cloud would be advantageous but isn't essential. Above all, we're looking for someone who enjoys solving complex technical challenges and continuously improving the platforms they build. What's On Offer Competitive salary Hybrid working Annual bonus 25 days holiday plus bank holidays Private medical insurance Life assurance Generous pension contribution Ongoing professional development and training support Modern office facilities including on-site gym, caf , restaurant and collaborative breakout spaces. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK Security Clearance. Senior Azure Platform Engineer - Farnborough (Hybrid) - SC Cleared - Salary up to 65,000

Senior AWS Cloud Engineer Contract: 3 Month Rolling Contract Rate: 500 per day (Umbrella) Location: London - Hybrid (2 days onsite, 3 days remote) A leading London public sector organisation is seeking an experienced Senior AWS Cloud Engineer to join their growing Cloud & Infrastructure team. This is an opportunity to play a key role in the delivery of a large-scale cloud transformation programme, helping modernise critical services that support hundreds of thousands of users. You'll work within a multidisciplinary technology team responsible for designing, building and supporting secure, scalable cloud infrastructure while driving automation, resilience and continuous improvement across the estate. The Role As the Senior AWS Cloud Engineer, you'll provide technical leadership across cloud infrastructure, DevOps and platform engineering. You'll be responsible for designing and maintaining highly available AWS environments, supporting business-critical applications and implementing Infrastructure as Code and automation best practices. Working closely with architects, software engineers, security specialists and service teams, you'll help shape cloud standards and ensure platforms remain secure, performant and cost-effective. Key Responsibilities Design, build and optimise secure AWS cloud infrastructure. Deliver Infrastructure as Code using Terraform and other automation tools. Maintain highly available cloud platforms supporting critical business services. Improve platform reliability, monitoring, alerting and operational resilience. Support cloud migration and modernisation initiatives. Manage Windows and Linux server environments hosted within AWS. Implement CI/CD pipelines and automation across infrastructure deployments. Work closely with development teams to enable self-service infrastructure. Champion cloud security, governance and best practice. Support networking, identity management and hybrid cloud connectivity. Lead technical investigations, problem management and root cause analysis. Contribute to architecture decisions, technical standards and continuous improvement. Mentor engineers and provide technical guidance across the wider team. Participate in an on-call rota where required. Essential Skills & Experience Strong commercial experience designing and supporting AWS cloud environments. Excellent knowledge of core AWS services including EC2, VPC, IAM, Route 53, S3, CloudWatch, RDS and networking. Proven experience with Terraform and Infrastructure as Code. Strong scripting skills (PowerShell, Bash and/or Python). Experience building and maintaining CI/CD pipelines. Knowledge of container technologies such as Docker and Kubernetes/EKS. Experience managing Windows Server and Linux environments. Good understanding of cloud security, identity management and compliance. Experience with monitoring, logging and observability platforms. Strong troubleshooting and performance optimisation skills. Comfortable working within Agile, DevOps and multidisciplinary delivery teams. Desirable AWS Certified Solutions Architect or equivalent AWS certification. Experience working within complex enterprise or public sector environments. Knowledge of Microsoft 365, Azure AD/Entra ID and hybrid identity. Experience supporting digital transformation or cloud migration programmes. Familiarity with ITIL service management practices. What's on Offer 500 per day (Umbrella) Initial 3-month contract with strong likelihood of extension Hybrid working - 2 days onsite in London, 3 days remote Opportunity to contribute to a major cloud transformation programme Eden Brown is acting as an Employment Business in relation to this vacancy.

Azure Data Engineer Location: Primarily Remote (Occasional travel to Mansfield) Contract Length: 3 Months Rate: 450 (Inside IR35) We are seeking an experienced Azure Data Engineer to join a high-profile programme within the energy sector. This is an excellent opportunity to play a key role in designing, building and supporting a modern Azure data platform that enables secure, scalable and governed data solutions. The Role As an Azure Data Engineer, you will be responsible for building and operating an Azure-based data platform, ensuring it provides a secure, scalable and trusted data lake using Azure Databricks. Working alongside data architects and engineering teams, you will help deliver new data products, onboard data sources and contribute to the ongoing data platform roadmap. Key Responsibilities Build, operate and optimise an Azure data platform using Azure Databricks. Design and support Azure infrastructure for data storage, processing, integration and external data sharing. Implement data governance, security, access controls, backup, retention and monitoring to maintain the data lake as a trusted single source of truth. Develop and maintain data ingestion, transformation and data product pipelines. Collaborate with data architects and engineers to onboard new data sources and deliver business-critical data products. Support the ongoing development and delivery of the ATLAS data roadmap. Ensure solutions follow best practices for automation, Infrastructure as Code and CI/CD. Essential Skills & Experience 5+ years' experience as an Azure Data Engineer. Strong experience with Azure Databricks. Azure Data Lake Storage (ADLS). Azure Data Factory (ADF). Python. SQL. Azure DevOps. CI/CD pipelines. Infrastructure as Code using Terraform and/or Bicep. Data governance, security and access control. Experience designing and supporting enterprise-scale Azure data platforms.

Azure Data Engineer 450 to 465 per day Contract Inside IR35 We are looking for an experienced Azure Data Engineer to join a major data transformation programme, delivering modern cloud-based data solutions using the Microsoft Azure platform. You'll play a key role in designing and building scalable data pipelines, supporting enterprise reporting and analytics, and migrating legacy data into a modern Azure Lakehouse environment. Key Responsibilities Develop and maintain data pipelines using Azure Data Factory, Databricks and Azure Lakehouse. Design ETL/ELT solutions supporting Bronze, Silver and Gold layers using Medallion Architecture. Build and optimise data models for Power BI and enterprise reporting. Support migration of legacy data into Azure cloud services. Ensure data quality, integrity and governance through automated validation and monitoring. Optimise data processing performance and troubleshoot production data pipelines. Collaborate with architecture and governance teams to implement security, metadata and data lineage. Contribute to CI/CD, Infrastructure as Code, automated testing and DevOps best practices. Essential Skills Proven experience as an Azure Data Engineer. Strong Azure Data Factory (ADF) and Azure Databricks experience. Experience building ETL/ELT pipelines within Azure Lakehouse environments. Knowledge of Medallion Architecture and Delta Lake. Strong SQL and Python skills. Experience with Power BI datasets and data modelling. Familiarity with Azure DevOps, Git, CI/CD and Infrastructure as Code. Understanding of data governance, security and cloud best practices. Skills: Azure Data Engineering Data Engineering Databricks Data Analysis This is an excellent opportunity to join a large-scale cloud transformation programme working with modern Azure technologies in a collaborative, agile environment.

Job Title: Lead / Hands-On Blockchain Architect Location: UK / Fully Remote (Occasional pre-agreed travel) Duration: 8 Months Rate: Negotiable About the Role We are seeking a highly skilled, hands-on Blockchain Architect to lead the end-to-end design, development, and delivery of enterprise-grade distributed ledger solutions. This role combines technical leadership with active coding, taking solutions from initial Proof of Concept (PoC) straight through to production. You will collaborate closely with cross-functional data, cloud, and DevOps teams to deliver secure, scalable, and highly compliant systems. Key Responsibilities Architectural Leadership: Lead end-to-end design of blockchain solutions, including consensus models, data structures, cryptographic frameworks, and node architectures. Platform Evaluation: Select and implement optimal blockchain platforms (e.g., Ethereum, Hyperledger Fabric, Corda, Polygon, Avalanche) based on enterprise needs. Hands-on Engineering: Actively contribute to the development of smart contracts and core components. Integration & Scaling: Define API layers, node data flows, and enterprise integration patterns for legacy systems. Security & Governance: Implement strict security best practices (key management, node communication) and define data privacy and access models (GDPR, KYC/AML compliance). Skills & Experience Required Overall Experience: 8+ years of experience within software engineering and enterprise architecture. Blockchain Expertise: 3+ years of dedicated, hands-on experience designing and delivering distributed ledger systems. Platforms & Smart Contracts: Deep technical proficiency with Ethereum, Hyperledger, or Corda , alongside smart contract development languages ( Solidity, Chaincode, DAML, or Rust ). Core Development: Strong background in languages like Java, Python, Go, or Rust . Cloud & DevOps: Solid understanding of modern cloud platforms ( AWS, Azure, or GCP ) and automated CI/CD deployment pipelines. Industry Frameworks: Prior experience working within heavily regulated environments (FinTech, Banking, or Enterprise) with an understanding of cryptography and data sovereignty. How to Apply If you are a hands-on architect looking to deliver a high-impact project within the digital asset/blockchain space, please submit your updated CV and availability to schedule a call. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Scrum Master (SC + NPPV3 Cleared) Birmingham (Hybrid) 6 Month Contract £(Apply online only)/day (Outside IR35) Technical Scrum Master needed with both active SC Security Clearance and NPPV3 Security Clearance. 6 Month Contract based in Birmingham (Hybrid). Paying up to £(Apply online only)/day (Outside IR35). Start ASAP in July 2026. Technical Scrum Master with hands-on expertise with Java + Spring Boot microservices development skills to lead Agile delivery within an AWS Cloud environment. Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site in the Birmingham office, plus occasional travel to the Croydon office. A chance to work with a leading global IT transformation business specialising in delivering large-scale Government / Public Sector projects: Technical Scrum Master with strong hands-on Java, Spring Boot, Microservices development + AWS Cloud environments. This is not a traditional Scrum Master role. The role will combine Agile leadership with deep technical capability in Java-based microservices, allowing you to actively challenge code, influence engineering decisions, and drive DevOps best practices across AWS platforms. Act as a technical authority in the squad, working closely with the Technical Delivery Manager, Product Owners, Architects, Developers + Testers to ensure high-quality, secure delivery of application and DevOps services. Agile Delivery Leadership: lead Scrum ceremonies and ensure effective sprint planning, execution + delivery outcomes. Technical Leadership & Engineering Oversight: review / challenge Java + Spring Boot microservices code to ensure adherence to clean code, performance, scalability + best practice. Influencing Software Engineering decisions relating to Java frameworks, design patterns + implementation approaches. Driving code quality improvements through reviews, static analysis + test coverage. DevOps / Engineering Excellence: driving CI/CD pipeline optimisation for Java-based services, including build, test + deployment automation. Governance, Metrics & Continuous Improvement: track delivery using DORA metrics + software engineering KPIs, monitor pipeline performance, defect rates + service reliability. Technical Expertise: Java, Spring Boot, Microservices, RESTful APIs, AWS Cloud (EC2, Lambda, S3, IAM, CloudWatch), CI/CD for Java applications (Jenkins, GitHub), Docker, ECS, EKS. Advantageous Skills: Scrum / AWS / SAFe certifications (CSM, PSM etc). SC and NPPV3 Security Clearance are both essential for this position.

Platform Engineer London (AI, AWS, Claude Code) Our client is looking for a Platform Engineer to join their growing team. You ll be responsible for building and managing enterprise-grade hybrid environments, working closely with Application Engineering teams to deliver secure, scalable, and resilient AWS infrastructure. You ll play a key role in driving continuous improvement across the engineering platform, implementing DevOps best practices including containerisation, CI/CD pipelines, and Infrastructure as Code. You ll also contribute to automation and standardisation initiatives to reduce operational overhead. Working alongside Senior Platform Engineers, you ll support platform and product initiatives, including new product development and the migration of existing services to the cloud. A key aspect of this role is engaging with AI-driven engineering workflows. You ll use tools such as Claude Code as part of your development process, evaluating outputs and maintaining high engineering standards. Tech Stack : AWS (RDS, S3, DynamoDB, EBS, IAM), Terraform, Ansible, Jenkins, GitLab, Docker, Kubernetes (EKS/ECS), Linux, Python, VPC, ALB, Route 53, security groups. Knowledge of security, obserability, and scalable system design would be beneficial. Working in a collaborative environment, our client offers progression and development. This is a hybrid role, with 1 day in the offices per week. For more info, please get in touch.

Role Title: Senior GCP (Google Cloud Platform) DevSecOps Engineer Duration: contract to run until 31/07/2027 Location: Sheffield. Hybrid 3 days per week onsite Rate: up to £473.80 p/d Umbrella inside IR35 Key responsibilities will include: Build, deploy and manage components of the client's GCP foundation platform using Google Cloud services (eg, GKE, BigQuery, Cloud Build, Cloud Run) and automation-first engineering practices. Engineer repeatable platform and security capabilities using Infrastructure as Code (IaC), such as Terraform and/or Config Connector, following established engineering standards. Implement and enhance preventive security controls and guardrails centrally to improve overall cloud security posture and reduce operational risk. Integrate, configure, deploy and manage common cloud services across IAM, networking, logging/monitoring, operating systems and container platforms. Embed security into delivery pipelines by building and supporting CI/CD and continuous testing capabilities (eg, Cloud Build, GitOps tooling such as FluxCD, Helm). Ensure alignment and compliance with centrally defined Cloud Security Standards and contribute to auditability through evidence, controls mapping and documentation. Operate within agreed change management practices, producing impact assessments where required and ensuring controlled, traceable deployments. Maintain high-quality operational documentation, runbooks and support procedures to enable sustainable operations and effective handover. What you need to have to succeed in this role: The ideal candidate for this role will have the following experience and capabilities: Hands-on, demonstrable experience on GCP building and operating cloud services in production (hands-on GCP experience is essential). Strong experience with core GCP services; exposure to GKE, BigQuery, Cloud Build and/or Cloud Run is highly desirable. Expert understanding of cloud security principles and GCP-specific best practices, including IAM design, logging/monitoring, network security controls and workload security. Strong understanding of DevOps/SRE principles, including reliability, observability, incident response supportability and engineering for resilience. Proven experience implementing Infrastructure as code using Terraform (and/or Config Connector), including module design, environments, policy-driven controls and automated deployment patterns. Experience building and operation CI/CD and related tooling (eg, Cloud Build, GitOps, FluxCD, Helm) with security controls Embedded into delivery workflows. Good programming/Scripting skills in at least one of: Python, Go, Bash, with practical mindset for automation and operational tooling. Security and compliance experience, including auditability, control evidence, configuration management and the ability to work with compliance/auditing/monitoring tooling. Strong communication and stakeholder management skills, with the ability ot explain complex technical topics clearly to engineers and non-engineers. A solid understanding of risk management and proven experience ensuring compliance with relevant regulatory and internal control requirements. Essential skills: Building secure and compliant GCP capabilities using automation-first approaches. Implementing and operating preventive controls and guardrails at scale. Strong troubleshooting capability across cloud infrastructure, Kubernetes/container platforms and CI/CD pipelines. Ability to drive continuous improvement, simplify operational processes and resuce oil through automation. Desirable skills: GCP certifications (eg, Professional Cloud Security Engineer, Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience operation regulated workloads in a large enterprise environment. Experience with container security patterns and Kubernetes hardening approaches. Familiarity integrating security findings and policy checks into DevSecOps workflows and reporting. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Infrastructure & Cloud Architect, Azure London | Hybrid To £130k + Bonus + Benefits Unique opportunity to play a key role in shaping and evolving the hybrid on-prem/Azure environment a leading global financial services organisation. This role focuses on platform architecture rather than application design. You will help define and implement the core Azure infrastructure foundations that support enterprise workloads across the organisation. The position involves designing secure, scalable and well-governed cloud environments across hybrid infrastructure, working closely with engineering, security and DevOps teams to ensure architecture is delivered in practice. Key responsibilities: Designing Azure Landing Zones and platform architecture Defining Azure networking architecture (hub-spoke, segmentation, private connectivity) Designing hybrid connectivity between on-premises environments and Azure Develop comprehensive cloud and infrastructure solutions, including hybrid and multi-cloud environments, in line with organisational goals. Lead the deployment and configuration of infrastructure platforms (eg, Azure, VMware, Cisco), ensuring seamless integration with existing systems. Monitor and analyse infrastructure performance, recommending improvements and proactively resolving issues. Optimise resource utilisation to control costs, including budgeting, forecasting, and vendor management. Work closely with the DevOps, security, and operations teams to support deployments and ongoing infrastructure projects. Evaluate emerging technologies, driving adoption where beneficial to the organisation. Key requirements: Azure Landing Zones Azure networking (Private Link, DNS, hybrid connectivity) Significant experience designing distributed enterprise Cloud Native systems in hybrid environments. Expertise in Azure IaaS and PaaS services, and virtualisation technologies. Strong understanding of networking, storage, security, and disaster recovery. Proven track record in using Infrastructure as Code (IaC) tools such as Ansible and Terraform Experience with Configuration as Code, Policy as Code and Architecture as Code. Proven ability in strategic planning and cloud transformation initiatives. Desirable: Diagrams as code, ie C4 Modelling and Structurizr, Mermaid, Plantuml, Desirable: Threat Modelling and Secure by design principles. Desirable: Understanding of ZTNA. This opportunity offers the chance to influence the design and evolution of large-scale Azure infrastructure platforms within a prestigious, global organisation.

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Software Engineer - Python/AWS/Cloud-Native Engineering SC or DV Cleared | Government Programme | AWS | Python | Terraform | Microservices Location: UK (Hybrid/Remote) Security Clearance: SC or DV required Engagement: Contract (Inside IR35) Sector: Public Sector/Defence/National Infrastructure We are supporting a major secure government programme building modern cloud-native and AI-enabled digital capability within a highly technical AWS engineering environment. The team are looking for a strong Senior Python Software Engineer with experience delivering scalable Back End services, microservices platforms and event-driven cloud solutions within AWS environments. This role sits inside a highly engineering-led team working across Python development, AWS infrastructure, DevOps automation and cloud-native platform delivery. The environment is heavily focused around scalable distributed systems, modern CI/CD practices and cloud-native engineering capability. This is not a traditional enterprise development environment - they need engineers comfortable operating across Back End engineering, cloud integration and modern AWS-hosted microservices architectures. Key responsibilities Designing and developing Python Back End services and APIs Building scalable cloud-native applications within AWS environments Developing event-driven and microservices-based systems Supporting CI/CD and automated deployment pipelines Working closely with DevOps, platform and cloud engineering teams Supporting secure and resilient distributed systems Contributing to technical design, engineering standards and delivery quality Operating within Agile engineering teams delivering modern cloud-native services Core skills required Strong Python engineering experience AWS cloud-native engineering REST APIs/Back End services Microservices and event-driven architectures Terraform/Infrastructure as Code CI/CD pipelines Docker/containerisation Cloud integration experience GitHub Actions/GitLab CI/Jenkins Experience working within Agile engineering teams Highly desirable FastAPI/Flask AWS Lambda/ECS/API Gateway SNS/SQS/EventBridge Kubernetes/EKS DevSecOps experience AI/LLM integration exposure Secure government or regulated environment experience SC, enhanced SC or DV clearance Environment & culture The engineering environment is modern, fast-moving and highly collaborative. The team work closely across software engineering, DevOps, platform engineering and automation functions, with strong focus around delivery quality, automation and cloud-native best practice. Candidates with experience across government digital services, AWS-hosted platforms and modern DevOps engineering environments will align particularly well.

GCP Network DevOps Engineer My client, a large consultancy, is in need of a GCP Network DevOps Engineer for a 6 month contract opportunity inside IR35 based in Bristol offering 2 days per week remote but requiring 3 days per week on-site. The ideal candidate will have strong experience in designing and delivering hybrid-cloud platforms and services, automated API-driven systems with Infrastructure as Code (IaC) principles and agile delivery models, Able to follow and iteratively improve domain-owned services as GCP and other cloud-based products mature + develop new features where other emerging technologies present an opportunity, Ability to work with a team of engineers to deliver domain-owned deliverables and dependencies, Continuous curiosity to learn and develop themselves with industry best practice methods and tooling in the cloud function, Technology agnostic and are willing to adapt their approach in pursuit of the best solution, Significant experience of DevOps concepts and CI/CD pipelines using cloud native and third-party tooling - Git, Terraform Cloud, HashiCorp Vault, Harness, Jenkins, Manage Incidents and Problems to resolve (and advance) enterprise networking connectivity issues to, Review and feedback on code changes for your fellow team members, Perform all engineering tasks in compliance with the Control and Security requirements.

Senior DevSecOps Engineer Reading (Hybrid working available) Active SC Clearance required Up to £71 p/h Inside IR35 We're looking for an experienced security cleared Senior DevSecOps Engineer to play a key role in delivering secure digital platforms for high-profile Defence and Aerospace programmes. You'll lead the integration of security, automation and cloud engineering best practices, ensuring security is Embedded throughout the software development life cycle. As the Senior DevSecOps Engineer, you will: Lead the design and implementation of secure DevSecOps platforms and toolchains Embed automated security controls into CI/CD pipelines Develop secure Infrastructure as Code (Terraform, Bicep, ARM, Ansible) Design secure Azure, AWS and hybrid cloud environments Implement vulnerability management, security monitoring and automated compliance Support threat modelling, security architecture reviews and risk assessments Drive adoption of Secure Software Development Lifecycle (SSDLC) best practice Implement container and Kubernetes security across enterprise platforms Continuously improve automation, platform resilience and operational security Key Skills Active SC Clearance Strong Defence, MOD or Aerospace experience Extensive experience in DevSecOps, DevOps, Platform Engineering or Cloud Security Extensive experience building secure CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI/CD or Jenkins Strong Azure and/or AWS security experience Hands-on Infrastructure as Code experience (Terraform, Bicep, ARM Templates or Ansible) Experience securing Kubernetes and containerised environments Knowledge of Zero Trust Architecture, IAM, RBAC and Privileged Access Management (PAM) Experience implementing SAST, DAST, SCA, container scanning and secrets management Strong Scripting skills with PowerShell, Python or Bash Experience with SIEM, SOAR, logging and observability platforms Good understanding of security frameworks including NIST, ISO 27001, NCSC and Cyber Essentials Plus CISSP, CCSP, Security+, CEH, CKS, CKA or similar certifications Please note: Active SC Clearance is essential for this position, along with previous experience working within the UK Defence or Aerospace sector. The role is based in Reading with hybrid working available.

Principal Data Architect DV Cleared Secure Government & Defence Programmes UK Hybrid + client site Active DV clearance non-negotiable Architecture that ends up in service, not in a slide pack. Datatech Analytics is supporting a leading UK consulting and technology organisation building secure, enterprise-scale data platforms across defence, national security and classified government programmes. We're engaging Principal Data Architects who want ownership, not oversight. The role You'll set and lead the technical direction of large-scale data platforms on mission-critical programmes working alongside senior stakeholders, engineers and delivery teams. Not advisory. You stay close to delivery and shape how platforms get built, deployed and used. What you'll do - Own enterprise data architecture across secure programmes - Design end-to-end platforms ingestion through to analytics and operational use - Build secure, scalable architectures for highly classified environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability The environment AWS, Azure, GCP Databricks, Snowflake lake, lakehouse and modern warehouse patterns distributed processing DevOps, IaC, secure deployment governance, access control, analytics enablement What we need - Active DV clearance - Track record delivering enterprise-scale data platforms - Defence, national security or secure government background - Deep cloud data architecture and secure design expertise - Credible with senior stakeholders - Led teams through complex delivery Why it matters These programmes sit at the core of the UK's secure data capability. Real constraints, real consequences, no sandbox platforms that support operational decisions when it counts. Confidential conversation: (url removed)

Cloud Infrastructure Engineer (AWS) Are you an AWS expert who thrives on building secure, scalable, and highly available cloud environments? We're working with a leading technology organisation that is investing heavily in its cloud capabilities and is looking for an experienced Cloud Infrastructure Engineer (AWS) to play a key role in shaping and managing its cloud platform. This is an exciting opportunity to join a collaborative, forward-thinking technology team where you'll have real influence on cloud strategy, architecture, automation, and optimisation. With a mix of project delivery, platform improvement, and operational support, you'll be at the heart of driving cloud innovation across the business. The Role As a Cloud Infrastructure Engineer, you'll be responsible for designing, implementing, and supporting AWS infrastructure that underpins critical business services. You'll work closely with internal technology teams to ensure cloud environments remain secure, resilient, cost-effective, and aligned with business objectives. This role offers the chance to work on a broad range of cloud initiatives, from infrastructure automation and migration projects to governance, security, and continuous improvement. Key Responsibilities Design, deploy, and maintain AWS cloud infrastructure using services such as EC2, S3, RDS, VPC, IAM, and Lambda. Optimise cloud environments for performance, availability, security, and cost efficiency. Develop and maintain Infrastructure as Code (IaC) solutions using tools such as Terraform and CloudFormation. Support cloud migration and transformation projects. Implement and maintain cloud governance, security controls, and compliance standards. Monitor cloud services and proactively investigate incidents and performance issues. Create and maintain technical documentation, architecture diagrams, and operational procedures. Act as a senior technical escalation point for AWS-related issues. Collaborate with infrastructure, security, and application teams to deliver robust cloud solutions. Evaluate new AWS services and technologies, recommending improvements where appropriate. About You You'll be an experienced cloud professional with strong AWS expertise and a passion for delivering high-quality infrastructure solutions. Essential Experience Proven experience designing, implementing, and managing AWS environments. Strong knowledge of AWS services including EC2, S3, RDS, VPC, IAM, and CloudWatch. Hands-on experience with Infrastructure as Code tools such as Terraform and/or CloudFormation. Strong scripting and automation skills (Python, Bash, AWS CLI). Good understanding of cloud security, identity management, and compliance best practices. Excellent troubleshooting, analytical, and problem-solving skills. Desirable Experience Experience with container technologies including Docker, ECS, or EKS. Knowledge of CI/CD pipelines and DevOps methodologies. Familiarity with monitoring and logging platforms. Experience supporting hybrid cloud environments and cloud migration initiatives. Understanding of ITIL-based service management practices. Exposure to AWS cost management and optimisation strategies. Apply Now If you're passionate about AWS cloud engineering and want to join a business where your expertise will help shape the future of its cloud platform, we'd love to hear from you. Apply today to find out more about this exciting opportunity. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

We're looking for experienced Azure Platform Engineering Consultants to join a major cloud transformation programme delivering Telco-as-a-Service on Azure. Azure Platform Engineer Location: Hybrid / Newbury Salary: 65,000 - 75,000 + Benefits This is an opportunity to work on a large-scale Azure platform, helping build secure, scalable and production-ready cloud capabilities that will underpin future digital services. Working alongside an established engineering team, you'll deliver reusable platform components, Infrastructure as Code, automation and engineering best practices while supporting the ongoing development of a modern enterprise cloud platform. If you're passionate about Azure platform engineering, automation and cloud-native technologies, and enjoy working in collaborative enterprise environments, we'd love to hear from you. What You'll Do Design, build and optimise Azure platform capabilities that are secure, scalable and resilient. Develop production-ready Infrastructure as Code using Terraform, Terragrunt and Azure-native tooling. Create reusable Azure platform templates and engineering patterns to support consistent platform adoption. Build and improve CI/CD pipelines, deployment automation and release processes. Implement observability, monitoring, logging, resilience and operational readiness across the platform. Embed FinOps principles, improving cloud cost visibility and optimisation. Work closely with engineering teams throughout sprint planning, delivery, reviews and technical demonstrations. Coach and support engineers through knowledge sharing, documentation and paired engineering. Contribute technical expertise to architecture, security and operational discussions. Produce clear technical documentation and reusable engineering standards. Essential Skills & Experience 10+ years' commercial experience in platform engineering or cloud infrastructure. Strong hands-on Microsoft Azure engineering experience across compute, networking, storage, identity, security and monitoring services. Proven Infrastructure as Code expertise using Terraform and Terragrunt. Experience building reusable Azure landing zones, platform templates or engineering patterns. Strong understanding of DevOps and DevSecOps practices including CI/CD, source control, automated testing and release management. Experience with Azure observability, monitoring, alerting, logging and platform reliability. Practical knowledge of cloud security, governance and enterprise engineering standards. Experience applying FinOps principles including tagging strategies, right-sizing and cloud cost optimisation. Excellent communication skills with the ability to work effectively within large enterprise engineering teams. Experience producing technical documentation and mentoring engineers. Desirable Skills Experience working within large-scale enterprise Azure platform programmes. Knowledge of Azure Policy, Azure Landing Zones and enterprise governance models. Experience supporting platform resilience, disaster recovery and operational readiness. Familiarity with agile delivery methodologies and Scrum teams. Experience working alongside architecture, security and operations teams within regulated environments. Experience delivering cloud platforms within complex, enterprise environments. Why Join? This is an opportunity to play a key role in a major enterprise cloud transformation programme, helping build a modern Azure platform that will support future digital services. You'll work alongside experienced cloud architects and platform engineers on modern Azure technologies, solving complex engineering challenges while contributing to a collaborative, high-performing team focused on engineering excellence. If you're an experienced Azure Platform Engineer we'd love to speak with you.

Site Reliability Engineer - SRE Consultant Akkodis are currently working in partnership with a leading service provider to recruit an experienced Site Reliability Engineer with experience in ensuring reliability, scalability and efficiency of client platforms. Please note this is a fully remote role with travel to client sites required on occasion and you must be eligible to gain security clearance (do not need to hold currently). The Role As a Site Reliability Engineer (SRE) you will lead site reliability engineering initiatives with a strong emphasis on observability, ensuring high performance and reliability of applications & infrastructure. Provide strategic insights to shape the overall SRE strategy while collaborating on the design and implementation of scalable and reliable solutions. Establish effective monitoring, alerting and incident response strategies to maintain system availability and promote continuous improvement by collaborating with team members to deliver observability best practices and SRE methodologies. The Responsibilities Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to measure and maintain system and application performance, ensuring services meet agreed reliability targets. Instrument applications to collect key metrics, logs, and traces that enable proactive monitoring and troubleshooting. Create dashboards and configure alerts to provide real-time visibility into system health, enabling teams to quickly detect and resolve issues. Assess and enhance Kubernetes capabilities, improving DevOps efficiency through innovation, agility and cost optimisation. Take a holistic approach to modernising the developer experience, focusing on organisational culture, DevOps practices, processes, automation and tooling. Architect scalable and resilient cloud infrastructure to ensure the seamless deployment and optimisation of containerised applications. Collaborate with cross-functional teams to implement automation strategies that reduce operational complexity and drive continuous improvement. The Requirements Strong understanding of the SRE mindset and principles, including the creation and management of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and error budgets ensuring reliability and performance. Experience in implementing observability, instrumenting applications to provide insights into system performance. Hands-on experience with tools such as Dynatrace, Prometheus and OpenTelemetry for monitoring, tracing, and real-time alerting is highly sought after. An understanding of microservices and container orchestration with the ability to optimise containerised applications for reliability and scalability. Experience enabling continuous delivery pipelines, with a focus on ensuring system reliability, quality, and performance through automated deployment, scaling, and observability tools. Understanding of build and deployment of pipelines and experience in collaborating with developers to improve observability and monitoring practices. Strong collaboration skills with the ability to work effectively both independently and as part of a team. Comfortability interacting and engaging with clients, although a consulting background is not a prerequisite. An enthusiasm and excitement at the prospect of working with a wide range of technology stacks and cloud providers across the wide range of clients and industries we support. If you are looking for an exciting new challenge to join a leading consultancy please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. Working within our Defence and National Security accounts you will be working on some of the most challenging and critically important projects working across various cloud technologies. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior Platform Engineer (Senior Associate) in Kainos, you'll be responsible for leading with the design of significant components of a modern digital service platform including its automation, build, deployment and support. It's a fast-paced environment and you'll be trusted to make sound, reasoned decisions. You'll do this whilst learning about new technologies and approaches, with talented colleagues that will help you to learn, develop and grow. Your key responsibilities will include: • Working as part of a team - You'll work alongside colleagues in engineering, testing, consulting, product management and security capabilities to build, test and deploy software of the highest quality. • Using technology for positive impact - You'll ensure the latest technologies are employed appropriately to extract maximum user and business benefit. You'll ensure alignment to industry standards and best practices. • Putting people first - you'll support your colleagues and facilitate an inclusive DevOps culture in all that you do. • Finding your voice - As a respected voice within your team and to our customers, you'll drive conversations and decisions to ensure services are scalable, secure, reliable and performant. • Supporting services through Live Operation - Getting services into production is just the beginning with the fun truly starting when real users start interacting with the service you've built. You'll make sure the service is available, secure and performant as you strive to continuously improve it. • Becoming a Role Model - You'll embody the Kainos values and be the person people look up to. You'll proactively coach and mentor more junior members of the team. • Pushing the boundaries - Through exposure to technology you may develop specialisms and choose to pivot your career in a certain direction. MINIMUM (ESSENTIAL) REQUIREMENTS • We all work in teams here in Kainos - a proven ability of strong team skills, including working in a multi-disciplinary team is crucial • Good verbal and written communication skills, with the ability to communicate issues to other technical people, and sometimes to non-technical people. • Significant expertise in: o Use of multiple configuration management, infrastructure provisioning and automation tools. o Fluency in least one of the following: Powershell, Bash, Python, Ruby, Go, Groovy. • Expertise in using multiple automation tools and at least one of: Powershell, Bash, Python, Ruby, Go, Groovy • Demonstrable experience in: o Designing, building, testing, automating, monitoring and supporting significant components within a modern digital service platform in production environments. o Producing designs that are scalable, resilient, efficient, secure, cost-effective and minimise lock-in. o Contributing to technical decisions and direction in a collaborative team environment, including architecture, estimation, product planning, user story/requirement creation and advocating MVP. o Implementing modern Continuous Delivery processes for releasing software for releasing software to production. o Applying industry best practices and patterns across infrastructure and application components e.g. security, elasticity, performance. o Using public cloud platform(s) to solve business problems (AWS or Azure). o Applying configuration management, infrastructure provisioning and container orchestration tooling to solve business problems. o Using modern version control systems including git. o Debugging complex problems across multiple servers, services and tools - you can find the needle in the haystack. DESIRABLE • Third level - or equivalent - qualification in a related discipline. • Obtained mid-level certification with a public cloud provider (AWS/Azure). • Active participation in knowledge sharing activities, both within the team and with wider non-technical audiences. • Experience of cloud-native SaaS and PaaS technologies. • We are passionate about developing people - experience in managing, mentoring and coaching junior members of staff is important Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.