126 to 143 of 143 Kubernetes Jobs in the Thames Valley

Lead DevOps Engineers to support both new and existing secure transformation projects. You’ll play a key role in architecting and maintaining scalable, security-first cloud infrastructure using AWS, Kubernetes, and real-time data streaming pipelines. This is a hands-on role for engineers who thrive in high-assurance environments and enjoy driving automation and DevSecOps best practices. What’s … CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is More ❯

using Terraform, Ansible, GitLab, Jenkins , and support SDLC best practices. Provide visibility and performance monitoring using Splunk, Prometheus, Grafana . Contribute to containerisation and orchestration strategy with Docker and Kubernetes . Stay ahead of industry trends, conduct POCs, and deliver technical recommendations. What We’re Looking For 10+ years’ experience in Linux systems administration/platform engineering . Proven technical … Ansible, GitLab, Jenkins). Programming/scripting knowledge in Python, Golang, or similar . Experience with metrics visualisation tools (Splunk, Prometheus, Grafana). Knowledge of containerisation and orchestration (Docker, Kubernetes). Experience in hedge funds, trading firms, or other low-latency/HPC environments is highly desirable. More ❯

Your role: As an Applicative DevOps Engineer, you will be responsible for maintaining and enhancing infrastructure and continuous integration pipelines, deploying new applications, and providing high-quality support and troubleshooting services. This position offers a dynamic and collaborative setting within More ❯

Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using Prometheus, Grafana, and ELK Stack Collaborate with cross-functional teams to deliver … robust, high-availability solutions Key Skills & Experience Extensive hands-on experience with AWS (Azure knowledge beneficial) Expertise in Terraform, CloudFormation, and automation tooling Strong containerisation skills with Kubernetes, Docker, and related platforms Proven background in cloud security, IAM, and governance Solid understanding of monitoring and observability stacks Ability to influence architecture decisions and align solutions to best practices Desired Certifications … AWS Certified Solutions Architect – Associate/Professional AWS Certified Security – Specialty HashiCorp Certified: Terraform Associate Kubernetes Certified Application Developer (CKAD) Clearance Requirement This role requires active eDV clearance . Applicants without this clearance will not be considered. More ❯

Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non-functional testing ⚡ Contribute to CI/CD … OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new technologies 👉 If this sounds like your kind of challenge, I’d love to More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering More ❯

by-design solutions, and enabling teams to deliver at speed without compromising on resilience or compliance. Key Responsibilities Design, build, and maintain secure cloud and platform infrastructure on AWS, Kubernetes, and OpenShift Implement Infrastructure as Code using Terraform, CloudFormation, and Ansible Create and optimise secure CI/CD pipelines with GitLab CI/CD, Jenkins, and ArgoCD Embed security scanning … to ensure visibility, auditing, and compliance Collaborate with engineering, operations, and security teams to promote DevSecOps best practices Key Skills & Experience Strong background in cloud platforms, particularly AWS and Kubernetes (OpenShift experience advantageous) Proven expertise in IaC, automation, and modern CI/CD practices Deep knowledge of application security, access management, and Zero Trust Networking Hands-on experience with vulnerability … compliance tooling Proficiency in building secure, reliable, and scalable pipelines and platforms Excellent collaboration skills across cross-functional teams in secure environments Desired Certifications HashiCorp Certified: Terraform Associate Certified Kubernetes Application Developer (CKAD) Clearance Requirement This role requires current and active eDV clearance . Candidates without this clearance cannot be considered. More ❯

Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This person must have experience building ML Infrastructure and cloud … architecture from scratch Key Details: Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

Senior Python developer to join our clients Network Automation team. You will be comfortable with Django/Flask, Gitlab and have experience of container infrastructure. This is a three month rolling contract that will require you in the office, just More ❯

Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build £600-700 p/d (Outside IR35) 5-month initial contract (extensions likely) Hybrid: London (2 days/week on-site) The Role Join a newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. As Tech Lead , you’ll drive technical delivery across … on large-scale Azure platform builds Azure Cloud expertise (enterprise-scale landing zones, networking, security, governance) Expert-level Terraform for modular, composable infrastructure-as-code Hands-on experience with Kubernetes in production environments Delivery leadership in DevOps-driven teams using GitHub Actions/Azure DevOps Proven ability to mentor engineers and embed technical standards Strong grasp of Kanban/continuous … delivery workflows What You’ll Work With Azure Cloud: CAF enterprise-scale architecture, policy automation, governance Terraform: Modular provisioning, testing, and deployment patterns Kubernetes: Workload orchestration and container management CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation Event-Driven Architecture: Kafka or similar messaging systems Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc. Secure More ❯

About Us Software helps to enable the world-leading science performed at Diamond. Our software systems facilitate operations at all levels, including the low-level control of synchrotron and beamline hardware, the planning, execution and monitor of experiments, data archiving More ❯

analysis and discovery. Key Responsibilities: Architect and manage cloud infrastructure (OCI/AWS/Azure) to support complex compute and storage needs Automate deployment, configuration, and scaling using Terraform , Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists … researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

analysis and discovery. Key Responsibilities: Architect and manage cloud infrastructure (OCI/AWS/Azure) to support complex compute and storage needs Automate deployment, configuration, and scaling using Terraform , Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery solutions Implement best practices in DevSecOps , identity and access management , and network security Collaborate with data scientists … researchers, and software engineers to deliver reliable, scalable systems Ideal Profile: Strong background in cloud platform engineering or DevSecOps Hands-on experience with Terraform , Kubernetes , and cloud architecture (preferably OCI) Familiarity with high-throughput or data-intensive environments (e.g. scientific research, bioinformatics, analytics) Passion for automation, performance optimisation, and secure system design Location: Oxford, UK (Hybrid) Seniority: Senior-level More ❯

performance degradation, and setting up rollback/recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics … ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML lifecycle. Can design for long-term scalability, reliability, and resilience. Has strong programming skills with Python More ❯

optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring robustness and observability. Drive system reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines , working with ML engineers, biologists, and platform teams to ensure … have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with databases — schema design, performance optimization, and analytics. Familiarity with REST APIs , websockets, and authentication/security best practices. A disciplined engineering mindset More ❯

One of our top secure communications clients is looking for an Automation Test Engineer to join a critical project. You'll gain exposure across the DevOps lifecycle, including Kubernetes and Grafana, as well as experience with HIL and embedded systems. Company Details Driving next-generation technology transformation to improve security, transport and logistics for various critical industries. Advanced IoT and … Details Focused on test automation, identifying test cases to be automated, writing scripts and integrating them into the development lifecycle. Engaging with the wider DevOps lifecycle tool chain, like Kubernetes and Kafka, with future DevOps opportunities for you. Collaborate with developers to improve code and streamline testing. Work with HIL and hardware interactions (no experience required). Apply below for More ❯

One of our top secure communications clients is looking for an Automation Test Engineer to join a critical project. You'll gain exposure across the DevOps lifecycle, including Kubernetes and Grafana, as well as experience with HIL and embedded systems. Company Details Driving next-generation technology transformation to improve security, transport and logistics for various critical industries. Advanced IoT and … Details Focused on test automation, identifying test cases to be automated, writing scripts and integrating them into the development lifecycle. Engaging with the wider DevOps lifecycle tool chain, like Kubernetes and Kafka, with future DevOps opportunities for you. Collaborate with developers to improve code and streamline testing. Work with HIL and hardware interactions (no experience required). Apply below for More ❯