76 to 100 of 271 Docker Jobs in London

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 ...

Python, or Node.js, and familiar with microservices, APIs, and event-driven architectures. Experienced in cloud and infrastructure-as-code technologies, such as Terraform, Kubernetes, Docker, and AWS services (Lambda, EC2, RDS, etc.). Comfortable working with data-rich systems, integrating APIs, and ensuring platform performance at scale. Implement event-driven ...

Engineer with experience with: Java Spring Boot Microservices JavaScript Frontend frameworks: they use Vue.js but are also open to React and Angular Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills Benefits: Bonus Private health insurance (covering ...

multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing ...

architecture. Experience with database technologies like MongoDB , PostgreSQL , and MySQL . Experience working with cloud platforms (e.g., AWS , Azure , or GCP ). Familiarity with Docker , Kubernetes , or other containerisation tools. Experience using version control systems like Git . Ability to design and implement high-performance, scalable backend solutions. Solid understanding ...

automated testing and monitoring solutions. You'll also contribute to infrastructure planning and deployment across AWS, GCP, or Azure, working with containerisation tools like Docker and Kubernetes. Additionally, the role includes mentoring junior engineers and promoting best practices while collaborating closely with founders, product teams and designers to deliver high ...

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 ...

testing. Nice to have: Proven experience in JavaScript or Vue.js for front-end development. Exposure to AWS and DevOps tooling such as Docker, Terraform, Kubernetes, Helm, and Git. Exposure to PHP or Drupal. Exposure to WordPress optimisation, including caching, CDN integration, and database tuning. If you're interested in this ...

continuous improvement. Essential Skills & Experience: 5+ years’ experience with Python (essential) plus AWS, Node.js, TypeScript, SQL, CI/CD, DevOps tooling (Terraform, GitHub Actions, Docker). Proven leadership experience guiding and mentoring engineering teams. Experience delivering scalable B2C/B2B digital products with 5k+ daily users. Excellent analytical and problem ...

fintech, payments or retail tech will also be considered if you have strong microservices migration experience. Nice to have Spring or Spring Boot Docker, Kubernetes or containerised environments CI/CD pipelines Performance optimisation experience If this sounds like a good fit, apply now and we’ll be in touch. ...

Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common architectures) Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar ...

native developer tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration and experimentation. Deployment, Performance & Infrastructure Containerize and deploy GenAI workloads using Docker, Kubernetes, KNative, and managed inference endpoints. Optimize system performance with: Caching, batching, routing, and fallback strategies Quantization and distillation for efficient inference Cost, latency, and reliability ...

users, creators and content stakeholders Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus. Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...

understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving ...