401 to 425 of 542 Kubernetes Jobs in the City of London

teams, you’ll ensure the new environment is secure, performant, and built for long-term sustainability. Key Responsibilities Lead infrastructure design and deployment using Terraform (IaC) Build and manage Kubernetes clusters to support containerised workloads Support the migration of legacy systems to cloud platforms (AWS, Azure, or GCP) Develop and optimise CI/CD pipelines for cloud-native delivery Create … teams to ensure seamless migration and minimal disruption What You’ll Bring Proven experience in a Senior DevOps or Cloud Engineering role Strong hands-on knowledge of Terraform and Kubernetes Demonstrated experience with cloud migrations or large-scale infrastructure modernisation projects Proficiency in at least one major cloud platform ( AWS , Azure , or GCP ) Experience with automation, CI/CD, and More ❯

Working On: Designing and building scalable backend systems using Python Collaborating on full-stack features with TypeScript and JavaScript Creating and integrating RESTful and GraphQL APIs Working with Docker, Kubernetes, and cloud infrastructure (AWS) Developing within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning … Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security cleared to at least SC level - DV level would be a preference. 2+ years experience in backend or full-stack software development Strong skills in More ❯

pipelines (e.g., Jenkins, TeamCity). Strong communicator—clear, collaborative, and proactive. Educated to degree level (or equivalent professional experience). Desirable Skills Experience with Elastic (ELK) stack , Docker/Kubernetes , or test automation tools such as Cucumber/Selenium . Exposure to client-side JavaScript frameworks and UI/UX collaboration is advantageous. Keywords: Java Developer, Software Engineer, Java 11+ … Agile, Banking, Financial Services, Microservices, RESTful APIs, CI/CD, Scrum, Kanban, BDD, Gherkin, React, Node.js, JIRA, Confluence, Bitbucket, Visio, PowerPoint, Docker, Kubernetes, Selenium, Cucumber. More ❯

Working On: Designing and building scalable backend systems using Python Collaborating on full-stack features with TypeScript and JavaScript Creating and integrating RESTful and GraphQL APIs Working with Docker, Kubernetes, and cloud infrastructure (AWS) Developing within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning … Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security cleared to at least SC level - DV level would be a preference. 2+ years experience in backend or full-stack software development Strong skills in More ❯

NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control … models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or More ❯

NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control … models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or More ❯

team! We're particularly looking for someone with strong Golang experience and with some experience of TypeScript and React frontend development . If you also have a knack for Kubernetes/containerisation, that's a significant bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should … development and integration. Contribute significantly to software development on our TypeScript-based frontend systems , primarily utilizing React to craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset … proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management. Familiarity with Kubernetes-specific platform components and principles , such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus. Proficiency More ❯

team! We're particularly looking for someone with strong Golang experience and with some experience of TypeScript and React frontend development . If you also have a knack for Kubernetes/containerisation, that's a significant bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should … development and integration. Contribute significantly to software development on our TypeScript-based frontend systems , primarily utilizing React to craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset … proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management. Familiarity with Kubernetes-specific platform components and principles , such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus. Proficiency More ❯

Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect, Kafka … Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns • Exposure to monitoring tools (Prometheus, Grafana, Splunk) • Experience with data lakes, data warehouses, or big data ecosystems Personal More ❯

Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD pipelines • Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: • Experience with Kafka Connect, Kafka … Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes • Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns • Exposure to monitoring tools (Prometheus, Grafana, Splunk) • Experience with data lakes, data warehouses, or big data ecosystems Personal More ❯

innovate and produce new ideas. Driving design discussions to solve real world problems and deliver on business goals. The tech stack is predominantly Typescript, Node and React on GCP, Kubernetes, GraphQL with some Rust although they are open to engineers from any background. You should apply if: You’re excited to build sustainable, net-zero products to disrupt an industry. More ❯

innovate and produce new ideas. Driving design discussions to solve real world problems and deliver on business goals. The tech stack is predominantly Typescript, Node and React on GCP, Kubernetes, GraphQL with some Rust although they are open to engineers from any background. You should apply if: You’re excited to build sustainable, net-zero products to disrupt an industry. More ❯

or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You will More ❯

or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You will More ❯

working in Murex environments. Design, implement, and maintain auto-scaling solutions for non-production environments. Collaborate with Murex teams to integrate and optimize scaling capabilities. Manage and fine-tune Kubernetes clusters to ensure performance, reliability, and cost efficiency. Support and optimize application server setups and end-of-day (EOD) processes. Identify and troubleshoot environment bottlenecks, providing sustainable engineering solutions. Document … cloud Environment preparation, rebuild, upkeep, maintenance, and upgrade activities. Ensure cloud cost optimization. Skills Must have 8+ Years of experience in Murex Environment Management Must-Have Skills: 1. Strong Kubernetes Expertise Experience deploying and managing applications in Kubernetes clusters Understanding of auto-scaling strategies (HPA, VPA, Cluster Autoscaler) Hands-on experience with Helm, ConfigMaps, Secrets, and service discovery 2. Infrastructure More ❯

working in Murex environments. Design, implement, and maintain auto-scaling solutions for non-production environments. Collaborate with Murex teams to integrate and optimize scaling capabilities. Manage and fine-tune Kubernetes clusters to ensure performance, reliability, and cost efficiency. Support and optimize application server setups and end-of-day (EOD) processes. Identify and troubleshoot environment bottlenecks, providing sustainable engineering solutions. Document … cloud Environment preparation, rebuild, upkeep, maintenance, and upgrade activities. Ensure cloud cost optimization. Skills Must have 8+ Years of experience in Murex Environment Management Must-Have Skills: 1. Strong Kubernetes Expertise Experience deploying and managing applications in Kubernetes clusters Understanding of auto-scaling strategies (HPA, VPA, Cluster Autoscaler) Hands-on experience with Helm, ConfigMaps, Secrets, and service discovery 2. Infrastructure More ❯

Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks … to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using Docker and orchestrate them with Kubernetes . Ensure high availability and scalability of AI services through robust orchestration strategies. Monitoring & Reliability Set up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues … and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads. CI/CD & Automation Develop and maintain CI/CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions . Automate deployment workflows and operational tasks … to improve efficiency and reduce manual errors. Drive adoption of DevOps best practices across engineering teams. Containerization & Orchestration Build and manage containerized applications using Docker and orchestrate them with Kubernetes . Ensure high availability and scalability of AI services through robust orchestration strategies. Monitoring & Reliability Set up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues … and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

Senior DevOps/Platform Engineer – Private Cloud | Kubernetes | Ansible | Python | Low Latency Location: London (Hybrid) Type: Permanent A global financial exchange specialising is hiring a Senior DevOps Engineer to help build and evolve its private cloud infrastructure supporting real-time trading systems. The team’s focus is on delivering a software-defined infrastructure vision — using Kubernetes , Ansible , Terraform and modern … Key Responsibilities Design and build private cloud infrastructure and define an API-driven approach to infrastructure management Develop automation and tooling using Python , Ansible , and Terraform Deploy and operate Kubernetes clusters across on-prem and private cloud environments Integrate low-latency capabilities into containerised systems (core pinning, kernel bypass) Build and maintain CI/CD pipelines using GitLab CI, ArgoCD … environments Migrate key trading applications into the new infrastructure Required Skills & Experience 10+ years’ experience in DevOps/DevSecOps , ideally within finance or trading environments Deep technical understanding of Kubernetes (5–10 years), containers, and observability tooling Strong Python scripting or Go programming skills Proficient in Infrastructure as Code (Terraform, Helm, Ansible) Solid knowledge of Linux , networking, and storage subsystems More ❯

cloud-native environment , driving best practices across DevOps, infrastructure, and platform engineering. Tech Stack Cloud: AWS (EC2, RDS, S3, IAM, CloudWatch, Lambda) Infrastructure as Code: Terraform Containerisation & Orchestration: Docker, Kubernetes (EKS), Helm Configuration Management: Ansible Monitoring & Observability: Grafana, Prometheus CI/CD: GitHub Actions Automation & Scripting: Python, Bash, Go or Java What We’re Looking For Proven experience running AWS … cloud infrastructure in a production or regulated (financial) environment. Hands-on experience managing Kubernetes clusters (preferably EKS). Strong understanding of Infrastructure as Code using Terraform. Familiarity with monitoring and observability stacks such as Prometheus and Grafana. Experience building and maintaining CI/CD pipelines (GitHub Actions or similar). Strong scripting or automation skills using Python, Bash, Go or … in a secure, high-availability cloud environment where reliability and automation are top priorities. Collaborate with exceptional engineers and influence platform strategy. AWS | Platform Engineering | FinTech | Cloud Infrastructure | Terraform | Kubernetes | EKS | CI/CD | Automation | DevOps | Python Click “APPLY NOW” to be considered for this position! Follow ReVybe IT Recruitment on LinkedIn to stay up to date with the latest More ❯

Engineer Location: London, hybrid (1–2 days per week in the office) Salary range: £75,000–£84,000 + benefits Tech: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), Terraform, Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions, CodePipeline), Python/Bash, Ansible, Security frameworks (CIS, OWASP), ** Sponsorship and offshore remote are not available for this position** Immersum continue to support … engineering, working closely with developers, QA and product teams to protect customer data and drive platform innovation. Key responsibilities include: Designing and maintaining secure, scalable AWS infrastructure with Terraform, Kubernetes and Docker. Embedding security into CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) through SAST/DAST and dependency scanning. Collaborating with developers and product teams to promote DevSecOps practices … driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST/DAST tools, dependency scanning Web & Systems: LAMP stack (Varnish, Nginx More ❯

Engineer Location: London, hybrid (1–2 days per week in the office) Salary range: £75,000–£84,000 + benefits Tech: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), Terraform, Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions, CodePipeline), Python/Bash, Ansible, Security frameworks (CIS, OWASP), ** Sponsorship and offshore remote are not available for this position** Immersum continue to support … engineering, working closely with developers, QA and product teams to protect customer data and drive platform innovation. Key responsibilities include: Designing and maintaining secure, scalable AWS infrastructure with Terraform, Kubernetes and Docker. Embedding security into CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) through SAST/DAST and dependency scanning. Collaborating with developers and product teams to promote DevSecOps practices … driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST/DAST tools, dependency scanning Web & Systems: LAMP stack (Varnish, Nginx More ❯

and maintain Terraform modules to automate infrastructure provisioning and environment setup. Manage and enhance CI/CD pipelines (GitLab or equivalent), automating builds, tests, and deployments. Implement and maintain Kubernetes clusters (AKS), Docker images, and related infrastructure components. Ensure systems meet security, performance, and compliance standards (SOC2, encryption at rest/in transit). Collaborate with software engineers to align … on Azure. Strong Azure background, including virtual networks, storage and application gateways. CI/CD pipeline management experience (GitLab, GitHub Actions, or Azure DevOps). Experience with containerisation (Docker, Kubernetes/AKS). Familiarity with security best practices - encryption, access control, compliance frameworks. Hands-on technical foundation in either software development (.NET/C# preferred) or infrastructure engineering. Beneficial Experience More ❯

. Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. Develop automation scripts in Python to streamline … Terraform, CDKs). Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). Desirable Experience deploying AI inference engines (vLLM, Ray Serve, Triton). Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). Understanding of AI safety and reliability frameworks (Guardrails More ❯

. Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. Develop automation scripts in Python to streamline … Terraform, CDKs). Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). Desirable Experience deploying AI inference engines (vLLM, Ray Serve, Triton). Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). Understanding of AI safety and reliability frameworks (Guardrails More ❯