1 to 25 of 329 Kubernetes Jobs in the City of London

proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space 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 ❯

version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a More ❯

understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile backlog management. Experience in CI/CD tools and pipelines . More ❯

as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments. Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS. Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices for pipeline efficiency More ❯

tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) 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 ❯

CircleCI, or Azure DevOps) Solid grasp of version control (Git) and modern software delivery practices Desirable Experience in consulting or working with multiple client projects Familiarity with containerisation (Docker, Kubernetes) Understanding of modern API design and microservice architecture More ❯

Python, and RESTful Web APIs. Implement integration and unit tests as part of the development process. Contribute to DevOps practices including CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment (Azure/AWS). Support production systems and troubleshoot technical issues when needed. Agile Collaboration Participate in Scrum ceremonies and contribute to planning, stand-ups, reviews, and retrospectives. More ❯

Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog More ❯

scripting (Bash, Python, etc.). Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience with containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace More ❯

proficiency in Python, JavaScript/TypeScript, Java, or Go Experience with modern frameworks (React, Node.js, Django, FastAPI) Knowledge of microservices architecture, API design (REST, GraphQL) Experience with containerization (Docker, Kubernetes) and cloud-native development patterns DevOps & SRE Practices Experience implementing CI/CD pipelines and DevOps methodologies Knowledge of infrastructure monitoring (Datadog), log aggregation, and incident management Understanding of SLO More ❯

Familiarity with distributed system patterns and architectural trade-offs. • •Experience with performance tuning and troubleshooting in complex environments. • Tooling & Infrastructure: •Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). • Soft Skills; • Communication: •Ability to clearly articulate complex technical topics to non-technical stakeholders. •Strong documentation habits and a commitment to knowledge sharing. More ❯

Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools (BlackDuck, Snyk) We value your ability to adapt over deep specialization. In addition, we More ❯

What We’re Looking For Proven experience in Java (Spring Boot, microservices, multithreading) Strong cloud infrastructure knowledge (AWS,GCP,Azure) Solid understanding of CI/CD, containerisation (Docker/Kubernetes), and infrastructure-as-code Experience in financial services or investment platforms is a strong plus (not mandated) Leadership qualities with a pragmatic, delivery-focused mindset What’s On Offer Base More ❯

years in Golang preferred). Strong understanding of concurrency, distributed systems , and microservices architectures . Experience with REST/gRPC APIs , PostgreSQL , Kafka , or similar technologies. Familiarity with Docker , Kubernetes , and cloud platforms (AWS, GCP, or Azure). Excellent problem-solving skills and a passion for clean, efficient code. Bonus: Experience in fintech , payments , or high-throughput systems . Why More ❯

engineers Skills, Knowledge and Expertise 5+ years of experience in AWS cloud infrastructure design, implementation, and management Advanced proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as More ❯

. Experience working in regulated environments with a focus on security and compliance. Desirable Experience Solid understanding of cloud infrastructure fundamentals: Compute Engine, Cloud Networking Experience with container orchestration, Kubernetes, Istio and GKE in particular. Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS More ❯

Ruby, TypeScript etc IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) Cloud: Either AWS, GCP, Azure CI/CD: ArgoCD, CircleCI, GitHub Actions, Jenkins, etc Container/Orchestration: Docker, Kubernetes, EKS, ECS etc The Role: Hands-On: The Senior Engineering role is hands-on, solving complex problems, building highly efficient systems, with technical excellence at the heart of everything you More ❯

and scripting (Bash, Python) Comfortable working in Linux/Unix environments Exposure to AWS infrastructure and cloud-native architectures Experience with PostgreSQL, Nginx, Terraform Desirable: Knowledge of Docker and Kubernetes CI/CD experience with Jenkins or similar tools Git/GitHub/GitLab proficiency Understanding of DevOps principles and automation Strong documentation and communication skills Prior experience in government More ❯

Firewalls (Fortinet/Juniper/Cisco/Palo/SonicWall). Microsoft Certified: Azure Network Engineer Associate (or equivalent). Experience with Zscaler, Okta, Familiar with Linux, Docker and Kubernetes (EKS/AKS). Experience with Azure Monitor, Log Analytics, or third-party monitoring tools. Knowledge of PowerShell, bash, python, any other language. Exposure to implementation of AI in automation More ❯

REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and/or investment management organisations We don’t expect 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 ❯

engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills and ability to translate technical solutions into business value. More ❯

efficiency. Key Skills & Experience Essential: Strong hands-on experience with AWS (EC2, VPC, IAM, S3, ECS/EKS, etc.) Solid understanding of Linux systems administration and troubleshooting Expertise with Kubernetes (deployment, scaling, networking, monitoring) Proficiency in Python for scripting, automation, or tooling development Good understanding of networking principles (TCP/IP, DNS, load balancing, firewalls) Background in DevOps, Platform Engineering More ❯

Git, CI/CD, and DevOps tooling. Exposure to or interest in Python and Databricks as part of a modern data ecosystem. Familiarity with tools such as Jira, Docker, Kubernetes, Octopus, Artifactory, Oracle, and SQL Server. A problem-solver with a strong understanding of software development practices. Experience working in Financial Services is a plus, but not essential. Why Join More ❯