176 to 200 of 362 Kubernetes Jobs in Central London

Software Engineer C#, .NET Core, NUnit, Postgres, AWS, Azure, Kubernetes, Docker. City of London, United Kingdom Perm Role: £65,000 - £80,000 Harrington Starr has partnered with a Global Financial Technology company, and they are looking to hire a Mid - Senior C#, .Net Software Engineer, with experience working with highly scalable and performant systems. This is a great opportunity to More ❯

data, and operations. Develop scalable data flows and microservices that connect critical systems. Own architectural decisions around reliability, scalability and cloud infrastructure . Work hands-on with Python, Snowflake, Kubernetes, Docker, and Dash . Partner closely with quantitative analysts and business teams to deliver real-world solutions. What We’re Looking For Proven experience in Python engineering (backend, APIs, infrastructure More ❯

collaborative approach, working effectively with both technical peers and business teams The ability to communicate technical concepts clearly across the team Tech Stack includes: Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, GitHub What the Backend Developer - Python role offers: £70,000 base salary 10% performance-based bonus 28 days annual leave (plus public holidays) + birthday day off Private medical More ❯

knowledge and best practices 💡 What You’ll Bring Proven experience delivering production-grade, complex applications Strong background in Scala, ideally within the Akka/Pekko ecosystem Experience with Docker, Kubernetes, and cloud platforms Solid Test-Driven Development skills and understanding of testing at all levels Familiarity with CI/CD tools such as Jenkins or TeamCity Experience working in agile More ❯

processes we use • Taking part in code reviews and sharing ideas with the team • Continuously improving how we work in an Agile environment Tech stack Python | FastAPI | Django | AWS | Kubernetes | Terraform | PostgreSQL | OpenSearch | GitHub What we’re looking for • Strong experience building backend systems, ideally with Python • Good understanding of databases, data structures and SOLID principles • A problem-solver who More ❯

years’ experience in high-growth or scale-up SaaS environments Deep expertise in Node.js and React ; strong TypeScript skills Solid understanding of modern DevOps (Docker, AWS, CI/CD, Kubernetes a plus) Pragmatic engineer who values collaboration, clean code, and thoughtful design Join a team where product excellence, autonomy, and technical craftsmanship drive everything. More ❯

role where you're not just guiding but also rolling up your sleeves alongside the team. 🔧 Tech Stack & Practices You should bring solid hands-on experience with: Java, Spring, Kubernetes, Docker, Postgres, Kafka CI/CD pipelines with fully automated deployments and testing TDD, BDD, and modern coding standards Microservices architecture – understanding both its power and its trade-offs Scaling More ❯

databases - Knowledge of RESTful APIs, GraphQL, and WebSockets - Experience with Git, CI/CD pipelines, and cloud platforms (GCP) Nice to Have: - Experience with Docker and container orchestration (e.g., Kubernetes) - Familiarity with testing frameworks (Jest, Mocha, Cypress) - Knowledge of performance optimization and security best practices - Contributions to open-source projects or a strong GitHub portfolio Regards Anita More ❯

Data & AI Services Integration: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Deploy solutions using: Azure Kubernetes Service (AKS) or Azure Container Apps Azure Key Vault, Monitor, and RBAC Microsoft Entra ID (Azure AD) for identity and access control The successful Microsoft Power Platform/Agentic AI More ❯

things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows Develop responsive, performant frontends using More ❯

Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous learning. Accountability: Takes ownership and delivers to a high standard. Innovation: Embraces experimentation and emerging technologies More ❯

infra brain,” this could be your playground. You’ll love writing Go or Python, while also thinking about the bigger picture, building and maintaining cloud infrastructure (Azure ideally), building K8s clusters, writing Terraform for IaC, and handling all the other modern platform tools. You’ll be joining a Platform team of two ex high growth engineers who genuinely care about More ❯

analytical databases (e.g., PostgreSQL, ClickHouse). Containers: Experience building, running, and deploying containerized services in local and production environments. Cloud platforms: Experience with Azure and distributed systems. Preferred Skills Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink or KSQL is a plus. Airflow: Experience More ❯

VaR, Greeks, sensitivities, stress testing). Proven experience building or maintaining high-performance pricing/risk engines in production. Knowledge of cloud-native architectures (AWS ECS, Lambda, EKS/Kubernetes) and distributed computation. Solid grasp of derivatives pricing, volatility calibration, and Monte Carlo or analytical models. Familiarity with C++, C#, or Java for integration with legacy or high-performance modules More ❯

optimisation). Solid software engineering fundamentals - version control, CI/CD, and production-grade model deployment. Experience working in cloud-native or high-performance compute environments (AWS, GCP, Docker, Kubernetes). A curiosity for foundational research and a desire to work on systems that push beyond the current limits of LLMs. Why Join Be part of a core founding technical More ❯

Automation: Building use cases and creating infrastructure applications using programming languages such as C#, C++, and Python to process data locally Containerization and Orchestration: Using tools like Docker and Kubernetes to package and manage applications for scalable and efficient deployment. Packaged Application and industry standard APIs such as Revitt, MEF and TMFORUM. Building applications to manage Infrastructure operations (e.g. Juniper More ❯

for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of More ❯

and accepts regular code reviews. Required Technical Expertise Deep experience with DevOps architecture and implementation Understanding of containers with heavy experience in at least one or more of: Docker, Kubernetes, Rancher Working experience with GCP cloud infrastructure/services Experience with infrastructure-as-code: Terraform Experience with GKE, Helm, and Harness Experience with Linux System Administration Understanding of high-availability … at scale Deep hands-on Java (plus Spring framework). Nice to have: Python and Node.js Skills and Experience Consulting experience, preferably with major IT consulting Docker (DCA) or Kubernetes (CKAD) certification a plus Highly articulate with good communication skills across diverse groups, including stakeholders, engineers, business analysts, and teams Initiative to identify value work and execute delivery Demonstrated leadership More ❯

enhance realtime services, API's fix and enhancement for projects and will involve some stakeholder management. Key skills: · Machine Learning experience · Microservices architecture · Realtime Services/API · Python · Docker · Kubernetes · Jenkins · MLFlow · Databricks Ideally, you’ll have experience within the payments industry, but we’re looking for the skill set over the industry, so experience and understanding of data pipelines More ❯

Scala. Collaborate with data scientists, engineers, and analysts to turn complex data challenges into elegant, scalable solutions. Work with modern data technologies (e.g. Spark, Kafka, AWS/GCP, Docker, Kubernetes). Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement. What We’re Looking For: Strong experience with Scala (and ideally the wider JVM ecosystem). Background More ❯

members to architect and deliver high-performance Back End solutions using Kotlin. This is a long-term contract position. The following skills/experience is required: Strong Kotlin experience Kubernetes, Docker, MongoDB, Postgres or exposure to relational databases. Good Financial Services background, ideally in Front Office. Excellent communication skills Rate: Up to £850/day Duration: 6 months + (multiple More ❯

Croydon, infrequent) Security Clearance: SC Cleared (Current) Key Skills: Strong background in software architecture RESTful API design, ideally for UI integration Event-driven architecture patterns Familiarity with AWS and Kubernetes Experience with SQL and NoSQL databases Ability to communicate complex technical concepts to non-technical stakeholders Leadership in guiding developers and influencing technical direction Security Clearance: SC Cleared (Current) If More ❯

of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes More ❯

to refine and evolve platforms Collaborate across a small, experienced engineering group Contribute new ideas and continuously learn new tech You Have strong professional Go experience Have knowledge of Kubernetes and cloud-native applications Solid knowledge in microservices and event-driven architecture A passion for automation and improving engineering efficiency Experience in working in Agile environments London Bridge, Hybrid More ❯

Respond to user queries (2–10 per day) via support channels. Support onboarding of new applications and development teams. Work with technologies including AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka, and Argo. About the Team Supports systems handling low-latency market and order data across asset classes. Maintains tools for Surveillance and Regulatory Reporting functions. Uses a range of More ❯