1 to 25 of 802 Kubernetes Jobs in London

and maintenance of microservices using Java 21 and Spring Boot, ensuring best practices in modularity, resilience and maintainability Cloud & Infrastructure: play a crucial role in our cloud infrastructure with Kubernetes (K8s) on AWS, leveraging Docker for containerisation API Development: develop and optimise RESTful APIs to support our frontend applications built with React and TypeScript Platform Integration: ensure seamless integration of … Java (preferably Java 21) and Spring Boot Proven experience in designing and developing microservices-based architectures Hands-on experience with AWS services , including EC2, and a strong understanding of Kubernetes (K8s) for container orchestration Strong experience in building RESTful APIs and integrating with frontend frameworks such as React and TypeScript Familiarity with CI/CD pipelines and automated testing frameworks … technical stakeholders Technologies Back-end: Java 21, Spring (Boot 3+/Cloud/Data/REST), Postgres/Jooq/Flyway, JUnit/TestContainers/Mockito, AWS (EC2, RDS, k8s, Cognito, S3) Front-end: TypeScript, React, and Tailwind CSS More ❯

defining architectures that will scale and encourage best practices Provide technical leadership to more junior engineers Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. Kubernetes cluster creation Kubernetes cluster maintenance and troubleshooting Creating terraform based infrastructure Support SRE and developer teams Follow security practices on all infrastructure Maintain documentation and updating runbooks Incident detection, response … a collaborative and team-focused environment Experience with Go, Python, or other modern programming language. C++ knowledge a plus 2+ years of experience with containerization and orchestration (Docker + Kubernetes) and confidence operating cloud infrastructures Front-end development experience a plus DevOps skills, especially leveraging open source tools (Kibana, Prometheus, Grafana) a plus Sound understanding of agile software development best …/CD, testing, monitoring, alerting and documentation Being Cloud agnostic means not being able to use any managed Kubertnes service, so therefore build own Kubernete - experience with only managed Kubernetes would not be applicable for the role Kubernetes experience on at least one cloud Prometheus stack (Grafana, Prometheus, alertmanager Kubernetes upgrade and maintenance experience Any logging infrastructure experience Terraform Ansible More ❯

modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). Experience with RESTful API design and development. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git and Jira, BitBucket, Bamboo from Atlassian). Understanding of agile development methodologies (Scrum, Kanban). Excellent problem-solving, analytical, and debugging skills. More ❯

e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful delivery. Proficiency in multiple programming More ❯

build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). Experience More ❯

database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems, message queues, and event-driven architectures. Experience with high-performance computing, parallel processing, and optimisation techniques. Familiarity with CI/CD pipelines, automated testing More ❯

and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes). Familiarity of data orchestration tools (e.g. Prefect, Apache Airflow). Familiarity with CI/CD pipelines and DevOps practices. Familiarity with Infrastructure-as-code tools (e.g. Terraform, AWS CDK More ❯

protection, access control). Strong communication and collaboration skills. Experience with tools such as Jira, Git, and Jenkins. Desired Skills & Experience Interest in or experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines). Experience with application logging and monitoring tools. Understanding of test automation, continuous testing, and test coverage metrics. Knowledge of architectural solutions (highly available systems, distributed More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Experience mentoring, coaching or managing others in the team Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Experience mentoring, coaching or managing others in the team Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make More ❯

cloud platforms (e.g., AWS, Azure, GCP) Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc) Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of DevOps practices and tools. Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach Ability to influence, take calculated risks, make sound business decisions More ❯

Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯

Actions , or similar Docker/container experience Experience working in Agile teams using tools like Git , Jira , and Confluence Eligible for SC and NPPV3 clearance Desirable: Container orchestration with Kubernetes HashiCorp tools: Vault , Consul , Packer Monitoring and observability with Grafana , Prometheus , or similar Familiarity with cloud networking, VPCs, NAT Gateways, security groups, etc. Personal Attributes: Proactive and self-driven with More ❯

familiar with trunk-based development in git. Experience with back-end web application frameworks (Django, FastAPI, etc) NICE TO HAVE Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.) Docker, Kubernetes Typescript, NodeJS, React, Webpack etc. Java, C# Experience within the advertising/media agency space. Terraform If you are ready to be at the forefront of the AdTech industry, shaping More ❯

role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with More ❯

authentication. Python Python, Django, PostgreSQL, computer science fundamentals, Django authentication. We're also excited to hear from you if you hold expertise in these areas: Cloud architecture, AWS, DevOps, Kubernetes, Docker, Java, Ansible, Terraform, Jenkins, Harness. Who we're looking for We're hiring lead instructors to teach across our bootcamps, short courses, and enterprise programs (ranging from 1-week More ❯

unique cloud-based product offerings for our customers to use in their own DevOps processes on their own Cloud estate. Our tech stack A strong focus on Docker/Kubernetes/Istio DevOps tooling/automation - ArgoCD/Jenkins/Github Actions Scripting languages - Bash/Python/Groovy/Golang Provisioning software/frameworks (Elasticsearch/Spark/Hadoop More ❯

robust CI/CD pipelines, with significant experience in GitLab CI/CD Pipelines and debugging complex pipeline issues; Experience in the deployment and management of containerised applications using Kubernetes and Kubectl CLI functions; Strong experience utilising Terraform extensively for declarative infrastructure provisioning across cloud environments; Possess strong Linux Administration & Use skills, particularly with RHEL and Alpine distributions, including managing More ❯

data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to More ❯

and automation skills using Python, Bash, or similar languages Experience with security testing tools such as SonarQube, SNYK, Nessus, Qualys, or similar Familiarity with containerization technologies like Docker and Kubernetes Knowledge of security best practices for cloud environments (AWS, Azure, GCP) Understanding of security frameworks and compliance standards such as NIST CSF, ISO 27001, SOC 2 Excellent communication and collaboration More ❯

machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles More ❯

expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working autonomously and taking responsibility for the delivery of large More ❯

in IT, with a strong focus on DevOps and cloud architecture. • Proven experience in DevOps design and transformation across multiple projects. • Deep expertise in tools such as Jenkins, Docker, Kubernetes, Ansible, Terraform, and others. • Hands-on experience with one or more cloud platforms: Azure, AWS, or GCP. • Strong background in cloud-native engineering and solution architecture. • Demonstrated experience in applying More ❯

25. Strong technical proficiency in modern programming languages (e.g., Python, Java, JavaScript, Go, or C#). Experience with cloud-native security (AWS, Azure, GCP) and securing containerized environments (Docker, Kubernetes). Proficiency in security testing tools such as Burp Suite, Endor, Semgrep, etc. Strong background in network security, including firewalls, IDS/IPS, VPNs, and secure network design. Hands-on More ❯