76 to 100 of 278 Docker Jobs in London

tools, and DevOps practices Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge ...

tools, and DevOps practices Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge ...

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 ...

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 ...

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 ...

self-manage and proactively identify improvement areas Desirable experience: Non-functional testing (Accessibility, Performance, Security) CI/CD tooling (GitHub Actions, GitLab CI, Jenkins) Docker for testing environments Maven for test execution Accessibility standards and test automation best practices Familiarity with the GOV.UK Design System Experience applying structured evaluation methods ...

self-manage and proactively identify improvement areas Desirable experience: Non-functional testing (Accessibility, Performance, Security) CI/CD tooling (GitHub Actions, GitLab CI, Jenkins) Docker for testing environments Maven for test execution Accessibility standards and test automation best practices Familiarity with the GOV.UK Design System Experience applying structured evaluation methods ...

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 ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

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 ...

Flask or similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest ...

Familiarity with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB). • Knowledge of supervised and unsupervised learning models, regression, classification, clustering. • Experience with Git, Docker, and CI/CD pipelines for data workflows. • Strong problem-solving and analytical thinking skills. • Ability to communicate complex data concepts to non-technical stakeholders. ...

years of deep C++ experience, including: Designing and building complex systems on Linux and Windows Working with distributed, cloud-based microservices Delivering containerised architectures (Docker, Swarm, Kubernetes) Implementing CI/CD pipelines and DevOps best practices A solid understanding of cryptographic principles (symmetric/asymmetric cryptography, hashing) Experience thriving ...

Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model ...

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 ...