24 of 24 Permanent Kubernetes Jobs in Central London

Microsoft Certified: Azure Database Administrator Associate, or Oracle Certified Professional (OCP). Knowledge of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) for database automation. Experience with Kubernetes, containerized databases, or cloud-native database services. Why Join DXC Technology? Work with cutting-edge database and cloud technologies in a dynamic enterprise environment. Collaborate with global teams on innovative More ❯

serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote depending More ❯

architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure-as-Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a More ❯

the wider tech community Tech You'll Work With: AWS (SDK, CDK, Lambda, Step Functions) Node.js Java (Spring Boot) Terraform/CloudFormation SQL, GraphQL Postgres, DynamoDB (nice to have) Kubernetes, GitHub Actions, Quarkus (nice to have) What You'll Bring: Proven experience building distributed systems and serverless applications Strong grasp of clean code principles and software testing Familiarity with CI More ❯

such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus More ❯

with colleagues in London; as the company grows there will likely be some in office requirements but with lots of flexibility. About you: You have strong Java, AWS and Kubernetes skills and also have a good appreciation of user interface/front end development using React or Tailwind CSS You have a strong knowledge of modern software engineering best practices More ❯

with colleagues in London; as the company grows there will likely be some in office requirements but with lots of flexibility. About you: You have strong Java, AWS and Kubernetes skills and also have a good appreciation of user interface/front end development using React or Tailwind CSS You have a strong knowledge of modern software engineering best practices More ❯

client engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications What we will do for you: Competitive compensation Pension scheme DXC Select Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym More ❯

Are you happy to work "high-side", on-site 3-5 days/week? And... do you have experience with a few of the following technologies?: Java Kotlin Python Kubernetes AWS JavaScript React Node.js Nodding along so far? We should chat. Fortice work with 18 compass-point supplier, whether you want to sit in a prime seat, join a well More ❯

Cloud (Azure, AWS, GCP) cloud-based security architectures. Define and lead external security testing (e.g ITHC) of solutions on the public cloud (Azure, AWS, GCP), cloud native platforms (Docker, Kubernetes, etc.), and Software as a Service (SaaS) solutions. Formulate HMG Information Assurance Risk Assessment and Risk Treatment Plans Establish security requirements for cloud-based solutions by evaluating business strategies and More ❯

tuning Hands-on technical skills across a broad range of technologies, including: Microsoft: C#, VB, .NET Core, Azure, SQL Server, IIS, Windows Server Web: React, RESTful APIs, Docker, Azure Kubernetes Service (AKS) Tools: CI/CD pipelines (Azure DevOps), Dynatrace, Git, Okta, Apigee Excellent communication skills and the ability to work effectively across cross-functional teams Desirable: Familiarity with legacy More ❯

technical support for clients whilst being agile in the approach and methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine More ❯

Deep understanding of system-level optimization for HFT performance Familiarity with time-series or relational databases for logging and analytics Experience with cloud platforms and containerized infrastructure (AWS, Docker, Kubernetes) Comfortable working in distributed teams across time zones, especially on Linux-based systems Excellent communicator under pressure, able to explain complex systems clearly and concisely A commercially sharp mindset with More ❯

how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud infrastructure (ideally … in a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python or Java A good communicator who enjoys working collaboratively across product and … to be considered for this position! Follow ReVybe IT Recruitment on LinkedIn to stay up to date with our latest DevOps and Cloud roles and news. AWS, Platform, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc. More ❯

the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions/Azure DevOps (CI/CD pipelines) Docker & Helm (for containerised app deployments) What They … re Looking For Strong experience in AWS cloud infrastructure (ideally in a regulated or high-traffic environment) Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform or CloudFormation. Comfortable scripting in Python at a decent level. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively … to be considered for this position! Follow ReVybe IT Recruitment on LinkedIn to stay up to date with our latest DevOps and Cloud roles and news. AWS, DevOps, Python, Kubernetes, Helm, Terraform, CI/CD, etc More ❯

sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable … in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter More ❯

with Azures native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, were … on writing clean, maintainable, and well-structured code Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure More ❯

how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS cloud infrastructure (ideally in a regulated or high … traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn't have all the … to be considered for this position! Follow ReVybe IT Recruitment on LinkedIn to stay up to date with our latest DevOps and Cloud roles and news. AWS, Platform, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc. More ❯

sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in More ❯

sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in More ❯

sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable … in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter More ❯

at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, training models, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML … first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models (ideally image or video models). Experience in training models is a must! If you have built models, even better. Experience More ❯

Technical Expertise Cloud-Native Architectures: - Deep understanding of AWS, Azure, and GCP services, including compute (EC2, Lambda), networking (VPC, Transit Gateway), storage (S3, Blob), and container orchestration (ECS, Fargate, Kubernetes/EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing (NLP), model lifecycle … employer. Please note we are on the client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯

AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS), Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything Role details … US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS. You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance. You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration … with Azure API Management and Application Gateway. Skills, Knowledge & Experience Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA Infrastructure-as-code using Bicep or ARM templates Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps) API Gateway, Azure API Management (APIM), Azure Application Gateway Monitoring tools such as Prometheus, Grafana, and Azure Monitor Understanding of secure More ❯