76 to 100 of 362 Kubernetes Jobs in Central London

Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication skills, managing technical and business conversations Compensation: Salary and bonuses are highly competitive DOE More ❯

engineering experience Strong grasp of backend development, APIs, and distributed systems Proven experience in fast-moving or high-growth startup environments Familiarity with cloud infrastructure and containerisation (Docker/Kubernetes) A problem-solver who thrives on autonomy and ownership What’s On Offer Fully remote role (UK/Europe timezone) Competitive salary + meaningful equity A chance to work with More ❯

engineering experience Strong grasp of backend development, APIs, and distributed systems Proven experience in fast-moving or high-growth startup environments Familiarity with cloud infrastructure and containerisation (Docker/Kubernetes) A problem-solver who thrives on autonomy and ownership What’s On Offer Fully remote role (UK/Europe timezone) Competitive salary + meaningful equity A chance to work with More ❯

engineering experience Strong grasp of backend development, APIs, and distributed systems Proven experience in fast-moving or high-growth startup environments Familiarity with cloud infrastructure and containerisation (Docker/Kubernetes) A problem-solver who thrives on autonomy and ownership What’s On Offer Fully remote role (UK/Europe timezone) Competitive salary + meaningful equity A chance to work with More ❯

forward-thinking, offering real influence and variety in your work. Technology environment includes: Cloud and Infrastructure • AWS and cloud architecture • Infrastructure as code using Terraform and CloudFormation • Docker and Kubernetes • Automation and CI/CD pipelines • GitHub and GitHub Actions Software and Frameworks • React, Node, Next.js, Python • API design and integration • RESTful services and automation Data and Platforms • Salesforce • Google More ❯

testing (e.g., ISTQB), cloud (e.g., Azure), or DevOps are a plus. Experience with AI/ML technologies and LLM integration is highly desirable. Familiarity with container orchestration tools (e.g., Kubernetes) is a bonus. More ❯

cloud platforms (AWS, GCP, or Azure). Experience with tick data and building tick data pipelines. Proficiency with Parquet-based file storage; Iceberg experience is a plus. Familiarity with Kubernetes, containerization, and modern orchestration tools. Experience with time-series databases (KDB, OneTick) and C++ is a plus. Strong problem-solving skills and a collaborative mindset. Understanding of financial markets and More ❯

with non-technical and technical stakeholders. Comfortable leading Engineers in the following stack: • Typescript/Next.js • Java 11 - 17 • PostgreSQL/Kafka • Cucumber/Cypress/Playwright • AWS/Kubernetes/Terraform Benefits: • 20% bonus • Life assurance • Pension scheme • 25 days annual leave (extra buy-in scheme) + bank holidays • Cycle to work scheme • Flexible/Hybrid working • Work from More ❯

to facilitate CI/CD approaches to IaC Knowledge of IaaS implementation, Availability sets, Azure Networking concepts, Express Route, DNS, Load Balancing Strong skills in areas such as Docker, Kubernetes, IaaS, PaaS, SaaS to name a few Your Security Clearance To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC More ❯

backend development skills - Python is also desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React 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 ❯

integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited annual leave – we trust you to More ❯

FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and cross-disciplinary More ❯

architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort working in cloud-based environments (AWS preferred), including data connectivity and infrastructure-as-code principles. Experience integrating LLMs, RAG pipelines, or vector databases into More ❯

working in a fast-paced environment, and have experience building robust, well-optimised APIs. Bonus points if you have worked with DevOps practices or modern tools like Docker or Kubernetes . Role Responsibilities: • Develop and maintain a robust backend API using PHP Laravel. • Enhance the platform with innovative new features that align with the product roadmap. • Seamlessly integrate third-party More ❯

AD Application Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps (Azure Pipelines, Repos, Artifacts) or GitHub Actions integrated with More ❯

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is a customer intelligence company that provides More ❯

data scientists, distributed across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While you’ll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration More ❯

involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL and time series Websocket, REST API and message brokers (e.g. Kafka, NATS, Pub/Sub) Proficient written and verbal communication in English Strong analytical More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of 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 ❯

development is a plus. Solid understanding of mobile UI/UX principles and best practices. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). • Experience with implementing Analytics in Mobile Applications • Experience implementing Accessibility in Mobile Applications • POV/POC on leveraging GenAI in Mobile application Development More ❯