551 to 562 of 562 Kubernetes Jobs in the City of London

Head of AI Logistics Company (Up to £180,000 per annum + Equity) London (3 days per week in office) La Fosse has partnered with an ambitious AI-driven logistics company that’s redefining how supply chains operate. They are More ❯

Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey OB have partnered with a leading scale-up business in the AdTech space, where Data is at the forefront of everything they do, and they are currently hiring for a Lead Data Engineer to join their team and work on the development of their Data platform. This will be … with hands on experience working in Data heavy environments, with Real-Time Data Pipelines, Distributed Streaming Pipelines and strong knowledge of Cloud Environments. Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Key Skills and Experience: Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Prior experience working as a Lead Engineer or Tech Lead Pays £100k-£130k + … a week in Central London To be considered, you must be UK based and unfortunately visa sponsorship is unavailable 2-stage interview process! Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey More ❯

Key Responsibilities: Conduct in-depth research and development on the latest Azure container features including AKS (Azure Kubernetes Service), ACI (Azure Container Instances), and ACA (Azure Container Apps). Create and maintain comprehensive documentation on newly implemented features suitable for an enterprise environment. Design and implement robust monitoring and observability tools to track container performance and health. Automate testing processes … resources, ensuring streamlined operations and reduced manual efforts. Contribute to the software development lifecycle with an emphasis on the security and scaling of container-based applications using GitLab CI, Kubernetes, and Azure DevOps. Required Skills & Experience: Minimum of 4 years' hands-on experience with containers, particularly in a Microsoft Azure environment. Demonstrated expertise in AZURE KUBERNETES SERVICES (AKS), Azure Container … Azure DevOps, and other relevant technologies. Experience in designing and implementing secure and scalable container solutions in Azure, leveraging tools such as Microsoft Entra ID, Azure CLI, and Azure Kubernetes Service. Familiarity with various Azure Cosmos DB APIs and PostgreSQL for database management and operation. Proficient in Helm charts and the Helm release process . Skilled in writing PowerShell and More ❯

Key Responsibilities: Conduct in-depth research and development on the latest Azure container features including AKS (Azure Kubernetes Service), ACI (Azure Container Instances), and ACA (Azure Container Apps). Create and maintain comprehensive documentation on newly implemented features suitable for an enterprise environment. Design and implement robust monitoring and observability tools to track container performance and health. Automate testing processes … resources, ensuring streamlined operations and reduced manual efforts. Contribute to the software development lifecycle with an emphasis on the security and scaling of container-based applications using GitLab CI, Kubernetes, and Azure DevOps. Required Skills & Experience: Minimum of 4 years' hands-on experience with containers, particularly in a Microsoft Azure environment. Demonstrated expertise in AZURE KUBERNETES SERVICES (AKS), Azure Container … Azure DevOps, and other relevant technologies. Experience in designing and implementing secure and scalable container solutions in Azure, leveraging tools such as Microsoft Entra ID, Azure CLI, and Azure Kubernetes Service. Familiarity with various Azure Cosmos DB APIs and PostgreSQL for database management and operation. Proficient in Helm charts and the Helm release process . Skilled in writing PowerShell and More ❯

Platform Engineer – GCP, Terraform, Kubernetes - Hybrid (London) You will be joining a company that build software solutions fast to solve real problems within the workplace. The team builds tools that help engineering and product teams respond to incidents, reduce downtime, and continuously improve. We’re looking for a pragmatic, energetic customer facing and product-minded engineers who will succeed in … and scalability planning Work with Product Engineer's to enhance developer experience Drive automation and observability Requirements: Strong GCP experience Deep understanding of Terraform CI/CD pipelines Containerisation (Kubernetes, GKE) If you're interested get in touch ASAP More ❯

Platform Engineer – GCP, Terraform, Kubernetes - Hybrid (London) You will be joining a company that build software solutions fast to solve real problems within the workplace. The team builds tools that help engineering and product teams respond to incidents, reduce downtime, and continuously improve. We’re looking for a pragmatic, energetic customer facing and product-minded engineers who will succeed in … and scalability planning Work with Product Engineer's to enhance developer experience Drive automation and observability Requirements: Strong GCP experience Deep understanding of Terraform CI/CD pipelines Containerisation (Kubernetes, GKE) If you're interested get in touch ASAP More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep 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 ❯

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 ❯

truly next-generation software creation platform. We’re looking for experienced Platform Engineers who can code and think like builders. Experience with Go or Python and modern cloud environments (Kubernetes, EKS, GKE, or AKS) will be key. MUST HAVE: strong coding background in either Go, Python, or other language. Experience leveraging Kubernetes (GKE, AKS, EKS etc.) Hybrid working environment More ❯

truly next-generation software creation platform. We’re looking for experienced Platform Engineers who can code and think like builders. Experience with Go or Python and modern cloud environments (Kubernetes, EKS, GKE, or AKS) will be key. MUST HAVE: strong coding background in either Go, Python, or other language. Experience leveraging Kubernetes (GKE, AKS, EKS etc.) Hybrid working environment More ❯