596 jobs found

Leading Crypto Trading Client requires a Platform Engineer (Networking Development, Support Administration) with Web Scraping, Python and TCP IP Networking tools and Linux. All rounder position will look after Network Virtual Servers, self starter, must be able to communicate with senior stakeholders in the build and support of a High Frequency Trading Platform. As a Platform Engineer, you will: Act as infrastructure SME for a 24x7x365 globally distributed ethical web scraping function, supporting a multi region high frequency crypto trading operation Be able to proactively analyze, drive, and own, performance and process improvements along all parts of the chain Strong Linux / TCP IP network stack knowledge, as well as optimization/tuning Collaborate closely with development team in terms of architecture/prioritization Liaise closely and collaboratively with central infrastructure team, in terms of common infrastructure/improving standards across the estate Work effectively in a global multi-cloud set up, in terms of initiating/managing relationships, evaluation/onboarding of new providers, and improving internal processes in line with best-of-breed industry practices Be a Linux/network stack expert and utilise that knowledge in the context of tuning/optimization and production support Support the platform during business hours, and out-of-hours as part of a rota, and proactively chase ways to reduce/design out manual support overhead Required skillset You should get in touch if you have: Bachelor's degree in Computer Science, Software Engineering or a STEM subject from a recognised university Minimum 2 years of solid working experience in an infrastructure, DevOps, or Platform engineer role Production experience in a global cloud environment. Demonstrable AWS and strong networking experience in a multi-region and/or multi-cloud set up is essential. Demonstrable basic development or scripting experience in one or more of the following languages: Bash, Python, Java, C#, Rust, Excel VBA Nice to haves Containerization (Docker / Kubernetes) in a production environment Monitoring tools in a production environment (Prometheus / Grafana / ELK stack / Splunk) IaC tooling (Terraform, Ansible etc) To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

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.

LEDS Delivery Manager (Legal Enforcement Data Service) - MUST HAVE SC & NPVV3 CLEARANCE - Remote and Croydon - 3 months+/RATE: £680 per day inside IR35 One of our Blue Chip Clients is urgently looking for a LEDS Delivery Manager (Legal Enforcement Data Service). Please note the start date for this role is end September/early October. Please find some details below: Clearance required: BPSS + SC Transfer (7 weeks) Nationality requirement: UK Passport Holder Location: Remote Work/Croydon Job Description: Delivery manager for a delivery team on the LEDS (Legal Enforcement Data Service) replacement for PNC (Police National Computer System) Programme, delivery team is made-up of DevOps engineers, DBA, FinOps Engineer, Networks Manager, Technical Architect. The purpose of the team is to provide support to product teams on the LEDS delivery and create the infrastructure (in conjunction with LECP) for the teams, delivery manager must have experience in purely technical cloud delivery. Delivery manager must be comfortable in reporting to multiple levels within the customer and to different levels of technical knowledge. Travel to client sites when needed is required. SC and NPVV3 is required. - Provide visibility of environments during daily stand ups - Maintain an accurate understanding of how environments are used - Identify ownership - Tracking utilisation - Support decommissioning activities where appropriate Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

DevOps Engineers - MUST HAVE SC CLEARANCE - Remote and Croydon - 3 months+/RATE: £525 per day inside IR35 One of our Blue Chip Clients is urgently looking for several DevOps Engineers. Please note that start date is end of September/early October. Please find some details below: Clearance required: BPSS + SC Transfer (7 weeks) Nationality requirement: UK Passport Holder Location: Remote Work/Croydon Job Description: Description: - AWS - Kubernetes - ArgoCD - Jenkins & Groovy - GitLab CI/CD - Terraform - Packer - Containerization Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

Azure DevOps Infrastructure Engineer - MUST HAVE SC CLEARANCE - Remote and Croydon - 3 months+/RATE: £525 per day inside IR35 One of our Blue Chip Clients is urgently looking for an Azure DevOps Engineer. Please note that start date for this role is end of September/early October. Please find some details below: Clearance required: BPSS + SC Transfer (7 weeks) Nationality requirement: UK Passport Holder Location: Remote Work/Croydon Job Description: Looking for an Infrastructure/DevOps Engineer with strong Azure and Azure DevOps experience to support the design, deployment, and maintenance of cloud infrastructure and platform solutions. The successful candidate must be comfortable working independently, and have experience operating within large, multi-supplier delivery environments. Experience with the Power Platform and Microsoft Dynamics would be advantageous. Essential Technical Skills: Azure or AWS skills Networking, security, monitoring, and alerting Experience designing and supporting cloud infrastructure Hands-on experience with: o Azure Logic Apps o Azure Functions o Azure Data Factory (ADF) o Vnets, Private endpoints Infrastructure as Code: Terraform ARM Templates Azure DevOps: Azure Boards, Repos, Artifacts, and Pipelines Creation and maintenance of YAML pipelines Security, governance, and platform administration Scripting & Automation: Python PowerShell Desirable Technical Skills: Microsoft Power Platform Microsoft Dynamics 365 Experience deploying and supporting Power Platform solutions and Dynamics 365 environments Key Skills & Experience: Experience working in Agile delivery teams and CI/CD environments Ability to design, deploy, and maintain secure, scalable, highly available, and cost-effective infrastructure solutions Understanding of how logical solution designs translate into infrastructure implementations Strong problem-solving skills and ability to work independently with minimal supervision Ability to collaborate effectively within large, multi-supplier teams and complex delivery environments Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

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.

Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior 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 building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine 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.

We are looking for a talented AI Cloud and Environments Engineer to join a fast-growing technology team at the forefront of cloud and AI adoption within a market leading insurance firm. This is an exciting opportunity to play a key role in designing, building, and maintaining the infrastructure that supports innovative AI and machine learning solutions across the business. This role offers significant scope for professional growth in an organisation that embraces a cloud-first approach and is heavily investing in AI, machine learning, and agent-based technologies. The role requires 2-3 days per week in the London office. The Role: Manage and enhance GCP infrastructure Support Azure cloud environments Enable the deployment and operation of AI and ML solutions Develop and maintain CI/CD pipelines and Infrastructure as Code Collaborate with cloud, AI, and innovation teams to drive adoption of new technologies and ways of working Requirements: Strong experience as a Cloud Engineer or Infrastructure Specialist Expertise in Google Cloud Platform (GCP) Experience with CI/CD, DevOps practices, and Terraform Exposure to AI/ML environments, pipelines, or platforms Strong communication skills and a collaborative mindset Desirable: Azure experience Python or Scripting skills Experience in a regulated environment About You: Bright, curious, and adaptable Comfortable with change and emerging technologies Enjoy solving complex challenges Passionate about cloud and AI innovation If you're excited about cloud engineering, AI infrastructure, and helping shape the future of technology within a forward-thinking organisation, we'd love to hear from you. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully feel an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities.

Senior Site Reliability Engineer Up to £75,000 plus bonus and on call allowance Milton Keynes (2 days on site a week) VIQU have partnered with a well-established B2B SaaS company who are going through a significant platform transformation. and so are hiring for a Senior Site Reliability Engineer to build stability, respond to live incidents, and assist with system upkeep. The role will also play a key part in on implementing and adopting new tooling and processes surrounding the wider transformation. This is a genuine opportunity to own and operate how the cloud function works, and progress into a team lead position as the team grows. Experience required for the Senior Site Reliability Engineer Previous experience as a Site Reliability Engineer or similar (cloud, infrastructure, DevOps or platform engineering) within a customer facing environment - eg SaaS or MSP. Strong hands-on experience with both Azure, and on-premise virtual machines. Experience withInfrastructure as Code/Terraform, Container orchestration (Kubernetes or AKS), and Monitoring and observability tooling (Prometheus, Grafana, Datadog, or Azure Monitor). Ability to implement new processes, and tools, ensuring the wider development and support teams adopts new ways of working. Ability to communicate across internal teams and external customers. Skilled in networking across both cloud (Azure) and on premise environments. Either Windows or Linux systems administration skills (Linux preferred). Previous use of AI tools to enhance efficiency. Job Duties of the Senior Site Reliability Engineer Utilise various technologies (Terraform, Kubernetes ect) to manage provision, and configure Servers and networks, and automate application life cycles. Regularly use Datadog and other observability tools for application performance monitoring. Implement new ways of working, helping to shape how the organisation responds and recovers to incidents. Take ownership of incident resolutions. Actively drive down key reliability metrics (MTTR, incident frequency, on-call toil) by evaluating key incidents. Work on an a on call rota, ensuring you are available to respond to incidents during this time. Identify areas for automation and help implement changes that raise the bar for reliability. Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (see below) Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply).

Job Title: Java Support Engineer (L3 Support) Location: London Engagement: Inside IR35 Security Clearance: Active SC Clearance Required SFIA Level: 4 Essential Skills: Strong experience supporting Java applications in a production environment Excellent troubleshooting skills across applications and infrastructure Java, JavaScript, APIs, and Microservices AWS cloud platform CI/CD pipelines and deployment support Python, Shell, or PowerShell Scripting Desirable Skills: Docker & Kubernetes Terraform or CloudFormation Automated testing and performance analysis DevOps and release automation Key Responsibilities: Resolve P1-P3 production incidents within SLA Perform root cause analysis and implement permanent fixes Support releases, deployments, and change activities Maintain and support non-production environments Improve monitoring, alerting, and service reliability Produce technical documentation and mentor junior engineers Drive automation and Shift Left initiatives If this opportunity is of interest, I'd be happy to share more information. Alternatively, if you know someone with active SC Clearance who may be suitable, I'd appreciate any referrals. Looking forward to hearing from you.

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.

Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.

Ipswich | Hybrid (3 days in the office) £45,000-£55,000 + Benefits Picture More is recruiting on behalf of a leading UK law firm for a Software Developer to join its Product Development team. This is an excellent opportunity to work with modern Microsoft technologies, developing and supporting business critical applications while helping the firm expand its Azure cloud platform. You'll collaborate with Product Managers, QA, DevOps and business stakeholders to deliver secure, scalable and high-quality software. What you'll be doing Develop, maintain, and support applications using C# and .NET. Build and enhance REST APIs and system integrations. Contribute to Azure cloud-based and on-premises business applications Troubleshoot production issues and implement robust solutions. Write clean, maintainable code with automated testing. Participate in code reviews and Agile delivery. Use AI-assisted development tools to improve coding, testing and documentation. What we're looking for Commercial experience with C# and .NET Strong SQL and relational database knowledge Experience building REST APIs Exposure to Microsoft Azure Git and Azure DevOps (or similar) Understanding of software engineering principles, testing and object-oriented development Strong analytical, problem-solving and communication skills Desirable Azure Functions, App Services or Azure SQL CI/CD and DevOps practices Docker or containerisation Experience with AI coding tools such as GitHub Copilot or Microsoft Copilot Why join? Work for a highly respected UK law firm. Modern Microsoft technology stack. Opportunity to develop Azure cloud expertise. Exposure to AI-assisted software development Collaborative Agile environment with excellent career prospects Hybrid working - 3 days per week in the Ipswich office. If you're a C#/.NET Developer looking to build and support enterprise applications using modern Microsoft technologies, we'd love to hear from you.

Become part of a mission-driven digital team helping to build reliable, secure and scalable digital services that support economic growth across the UK. The Department for Business and Trade (DBT), in partnership with Inspire People, is seeking a Senior SRE Squad Lead with experience leading and developing engineers, strong DevOps and Site Reliability Engineering expertise, cloud platform experien click apply for full job details