1 to 25 of 37 Permanent Kubernetes Jobs in Central London

Frontend: Expertise in React , TypeScript , HTML5 , CSS3 , and other modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and Pact . Strong understanding More ❯

matter Preferred Tech Stack Expertise Cloud Infrastructure: AWS (EKS, RDS, Aurora, ElastiCache, Kafka, IAM) Secure Hosting: Experience working with air-gapped or government-secure environments Container & Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability: Prometheus, Grafana, ELK Stack, Dynatrace Secrets & Identity Management: HashiCorp Vault, Keycloak CI/CD & DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka More ❯

to work collaboratively in a cross-functional team. Desirable Skills - Experience with PHP, especially in legacy systems. - Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). - Exposure to domain-driven design and microservices architecture. - Experience in agile development environments. What We Offer - A chance to work on a high-impact transformation project. - A collaborative and More ❯

Able to translate complex engineering needs into clear business value propositions. Proven ability to write clean, maintainable, and testable code. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes), and cloud platforms (AWS/Azure). This is an excellent opportunity to join a high-performing team, working on complex and rewarding projects in a supportive and forward-thinking More ❯

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 ❯

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 ❯

clouds (VPCs), subnets combined with an understanding of cloud concepts, architectures and ideally IaaS, PaaS and SaaS, have experience with containerization technologies (ie,Docker) and container orchestration platforms (ie Kubernetes) in cloud environments. You will have knowledge of cloud security best practices, identity and access management (IAM), encryption mechanisms, a solid understanding of LAN/WAN and managing large scale 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 ❯

Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworks You will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills and the ability to More ❯

support, working across security-first infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch 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 ❯

based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office desks possibly with exposure to More ❯

Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings 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 ❯

Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP More ❯

e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong ambassador for the More ❯

ProficiencyinSpringBoot,RESTfulservices,andmicroservice-basedarchitectures. FamiliaritywithversioncontrolandCI/CDtools(e.g.,Git,Jenkins,GitLabCI). Solidunderstandingofobject-orientedprogramming,designprinciples,andtestingmethodologies. PreferredSkills WorkingknowledgeofbuildingautomationprotocolslikeBACnet,Modbus,KNX,andSNMP. ExposuretoIoTandedgecomputingplatforms(e.g.,AzureIoTEdge,EdgeXFoundry). Understandingofcontainerization(Docker)andorchestrationtools(Kubernetes)inrelationtoNiagaradeployments. ExperiencewithNoSQL/time-seriesdatabasessuchasMongoDBorInfluxDB. More ❯

and communication skills. Preferred Qualifications: VMware Certified Advanced Professional (VCAP-NV) or VMware Certified Implementation Expert (VCIX-NV) . Experience with cloud networking (AWS, Azure, GCP). Knowledge of Kubernetes networking and NSX Container Plug-in (NCP) Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). 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 ❯

and stakeholders Passionate about lifting those around you, while also continuously looking to grow your technical skills Understanding of various other tech stacks and services, i.e., AWS, Docker/K8s, Python, Typescript, C++, or similar An interest in sports/football is a definite benefit for this role About the team: Collaborative and people-oriented; they want you to be More ❯

communication and stakeholder management skills. Ability to manage multiple projects simultaneously. 🌟 Why Join the client? Work with prestigious FTSE 100 and FTSE 250 clients Gain exposure to technologies like Kubernetes, .NET Core, and Microsoft Azure Be part of a collaborative, innovative, and globally recognised team 📍 Location : London (Hybrid options available) - x3 days in the office per week is required - Central More ❯

BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using More ❯

understand marketing and advertising concepts like customer lifetime value (CLV), attribution modeling, real-time bidding (RTB), and audience targeting. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last but not least, you’ll have More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯