26 to 50 of 111 Kubernetes Jobs in Slough

You're collaborative and pragmatic with great communication skills You hold a technical degree Ideally you will also have some experience with one of the following: Containerization (Docker/Kubernetes), monitoring tools (Prometheus/Grafana/ELK stack/Splunk), IaC tooling (Terraform, Ansible etc.) What's in it for you: As a Platform Engineer you will receive a competitive More ❯

NoSQL databases Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis Experience with containerisation (Docker, Kubernetes), asynchronous processing, DevOps, and cloud deployment environments An ability to solve complex problems, work under shifting priorities, and thrive in a fast-paced startup environment Why this is a compelling More ❯

/CSS Security - Oauth2 Build Tools - Nx Dev/Yarn/npm Platform - Docker/Nginx Desirable Technical Skills Serverless AWS/GCP – API Gateway/Lambda Orchestration Stack – Kubernetes/Nomad Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software development experience in a commercial environment. Track More ❯

the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic More ❯

concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science More ❯

Hands-on knowledge of API management platforms (e.g., Apigee, Kong, MuleSoft, AWS API Gateway). • Experience with microservices, cloud platforms (AWS/Azure/GCP), and containerization (Docker/Kubernetes). • Strong grasp of CI/CD, monitoring tools, and agile delivery practices. More ❯

concurrency , networking , and low-level performance optimisation Experience with microservices , distributed systems , or blockchain technologies is highly desirable Familiarity with Linux systems , CI/CD pipelines , containerisation (Docker/Kubernetes) , and cloud infrastructure (AWS, GCP, or Azure) A pragmatic engineer who values clean code, testing, and long-term maintainability Why Join Us Work on technically challenging projects where performance and More ❯

communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of More ❯

and big data concepts. Experience using version control systems (Git) and CI/CD practices. Familiarity with relational databases (PostgreSQL, MySQL, or similar). Experience with containerisation technologies ( Docker , Kubernetes ). Understanding of data orchestration tools (e.g., Airflow or Dagster). Knowledge of data warehousing principles and dimensional modelling . Understanding of cloud platforms and infrastructure-as-code (IaC) practices. More ❯

disciplines Bonus: experience with identity systems (e.g. Microsoft Entra ID/Azure AD), SSO, or HRIS integration OUR TECH STACK Frontend: React, JavaScript Backend: C#, .Net, Azure Service Fabric, Kubernetes Infrastructure: Azure, Service Fabric, Cosmos DB WHY COCENTRIC Be a key part of a product that’s transforming how the frontline workforce connects Help shape the technical foundation of a More ❯

governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of More ❯

translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared More ❯

reconciliation. Familiarity with regulatory regimes such as EMIR, SFTR, MiFID II, or CFTC. Hands-on experience with version-controlled notebooks, CI/CD for ML, or containerisation (Docker/Kubernetes) Core Competencies: Strong problem-solver with a data-driven mindset. Practical and commercially aware in applying AI/ML to FS use cases. Independent thinker who thrives in ambiguity and More ❯

React. Collaborate with cross-functional teams to deliver new features and integrations. Cloud and Containerisation Manage and optimise AWS infrastructure for high availability and fault tolerance. Implement and maintain Kubernetes clusters for container orchestration. Database Management Develop and optimise SQL and NoSQL database solutions. Ensure data integrity and high performance in database operations. Code Quality and Review Maintain high standards More ❯

Engineering Proven track record building and maintaining CI/CD pipelines in production environments Deep understanding of monitoring, logging, and observability tools and practices Experience with container orchestration (Docker, Kubernetes) and microservices architectures Knowledge of security best practices for cloud-native applications Scale & Performance Focus Experience building systems that handle millions of requests/events per day Understanding of distributed More ❯

11+) and Spring Boot. You have proven ability to design and lead backend architectures for complex systems. You are familiar with cloud environments (AWS is mandatory) and container orchestration (Kubernetes). You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of More ❯

job opportunity for you. Role Title: Software Developer Location: Manchester, Cheltenham or London Clearance required: eDV Duration: 5+ months Role Description: • Java development • Object store configuration and containerisation • Docker, Kubernetes • Back-end software development using Python and Java • Relational databases and SQL • Experience integrating 3rd party software, scripting/glue work • Experience building and deploying web user interfaces • Experience working More ❯

and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks More ❯

such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems More ❯

communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to More ❯

or related field (top-tier university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job) Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform Databases: SQL-like, especially SurrealDB Leadership qualities: mentoring, project ownership, stakeholder management Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like More ❯

DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to build systems that move markets? Apply now or DM for more info. More ❯

Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in More ❯

cloud based HPC solutions such as AWS, Azure, or GCP Advanced Linux system administration in research computing environments Workload management and scheduling tools such as Slurm, PBS, HTCondor, or Kubernetes Scripting and automation using Python, Bash, or Ansible Infrastructure as code using Terraform Not only that, you will join a collaborative and forward thinking team with excellent technical leadership and More ❯

Experienced in Agile and modern DevOps practices Excellent communicator, able to inspire and influence across technical and non-technical teams Tech Environment (indicative) JavaScript/TypeScript, Node.js, React, AWS, Kubernetes, Terraform, CI/CD, Microservices Why Join High-impact leadership role within a product-led, scaling business Collaborative, engineering-first culture with modern tooling Competitive salary, share options, and flexible More ❯