101 to 125 of 646 Docker Jobs in London

Stack: Proficient with TypeScript, React, Jest , and Storybook . Experience with Micro Frontends (MFEs) is a major plus. DevOps & Cloud: Hands-on experience with Docker, Kubernetes, Terraform , and AWS . Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills ...

source projects (GitHub profile demonstrating collaborative development) Cloud computing experience with AWS, GCP, or Azure Infrastructure as Code experience (Terraform, CloudFormation, etc.) Containerisation experience (Docker, Podman, etc.) Experience with agent‐based modelling (e.g. MATSim, etc.) Experience programming in Java a plus Familiarity with population synthesis best practices and relevant tools ...

facilitate CI/CD approaches to IaCKnowledge of IaaS implementation, Availability sets, Networking concepts, Express Route, DNS, Load BalancingStrong skills in areas such as Docker, Kubernetes, IaaS, PaaS, SaaS to name a fewYour Experience and SkillsMinimum 7+ years of experience as a Data Architect with experience in designing, developing ...

libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).* Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).* Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform).* Ability to write clean, efficient, well documented, and reusable ...

tooling. Experience designing and operating large‐scale distributed systems. Proficiency with infrastructure‐as‐code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with ...

preferred; no visa sponsorship) 1-5 years in infrastructure engineering or SRE, building and deploying production systems - not just debugging Hands-on Kubernetes/Docker in production; Terraform, Ansible or CI/CD pipeline experience Proficiency in Java, Python, Go or JavaScript, applied to infrastructure or operations Distributed systems, Linux ...

pharmaceutical work is beneficial Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage Experience with Docker/containerised applications (including multi-container architecture) is desirable Mentoring/coaching and technical leadership experience is strongly valued #J-18808-Ljbffr ...

. Hands‐on experience designing reusable CI/CD pipeline templates – GitHub Actions or Azure DevOps – consistent across stacks and teams. Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. Observability experience with at least one of Datadog, incident.io or cloud‐native logging and monitoring (GCP Cloud Operations ...

technical teams. Desirable Experience Experience working in Agile delivery environments. Experience with cloud migrations and platform modernisation programmes. Knowledge of container technologies such as Docker or Kubernetes. Experience working within highly regulated or public sector environments. Microsoft Azure certifications (e.g. Azure Administrator, Azure Solutions Architect, Azure DevOps Engineer or equivalent ...

artefacts Comfortable acting as the subject matter expert across security, infrastructure, and operational best practices Technical Experience Terraform and Infrastructure‐as‐Code environments Kubernetes, Docker, and containerised application deployment Modern CI/CD platforms including GitHub Actions, Cloud Build, Buildkite, CircleCI, or similar Cloud platforms, ideally GCP Observability tooling including ...

Firestore. Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies. Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform. Strong problem-solving, stakeholder engagement and architectural design skills, with the ability ...

Desirable: Experience within Banking, Financial Services, or large-scale transformation programmes. Experience supporting regulated applications, risk technology platforms, or compliance-driven initiatives. Experience with Docker and Kubernetes. Knowledge of observability, monitoring, logging, and control monitoring frameworks. Experience working within Agile delivery environments. Experience supporting geographically distributed teams. Exposure ...

have strong commercial experience with: Microsoft Azure and Azure Kubernetes Service (AKS) (essential) Kubernetes platform engineering within production environments Terraform and Infrastructure as Code Docker, GitOps and CI/CD pipelines Linux and Bash scripting Grafana, Prometheus and OpenTelemetry Kubernetes networking and service mesh technologies Production platform operations, troubleshooting ...

high‐quality coding standards and strong testing/CI practices are consistently applied. Guide deployment and operations in AWS and other cloud environments, leveraging Docker/Kubernetes . Contribute to hiring, onboarding, and developing new team members. Stay current with emerging frameworks, tools, and patterns — helping the team evolve with ...

/TypeScript, React, npm) Proven experience designing, developing, and deploying scalable backend systems. Familiarity with DevOps, CI/CD and containerisation technologies (Jenkins, Kubernetes, Docker, AWS). Strong communication, collaboration, and problem‐solving skills, ideally within an agile environment. If you don’t meet every requirement, we still encourage ...

architecture decisions and driving continuous improvement across teams. Tech we commonly use: Languages: Java TypeScript Python Go Frontend: React Angular Cloud & Platform: AWS Kubernetes Docker Data: Elasticsearch MongoDB Relational DBs DevOps: CI/CD GitOps Infrastructure as Code (IaC) Why join Gemba? Gemba is built upon four core values that ...

Experience building APIs, integrations, and microservices. Strong understanding of secure software development principles. Hands‐on experience with Microsoft Azure, AWS, or GCP. Experience with: Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code (Terraform or equivalent). Strong understanding of cloud‐native architecture and operational excellence. Strong database design ...

least one of the following: Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting ...

write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment for all of our employees ...

experience Experience working within streaming, video platform or other large‐scale web environments. Knowledge of cloud and container technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI‐driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding ...

similar role focused on building and operating large-scale, high-availability production systems Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring Knowledge ...

modern engineering practices (clean code, testing, packaging, dependency management, Git-based workflows) Hands-on experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference) Practical MLOps experience: CI/CD for ML, model packaging and release management, automated ...

performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high‐performance data storage and retrieval Experience designing ...

queues (Kafka, RabbitMQ, NATS) and event‐driven architectures Understanding of distributed systems concepts: consensus, eventual consistency, fault tolerance, and retry mechanisms Experience with containerization (Docker) and basic Kubernetes concepts Knowledge of testing frameworks and practices (unit tests, integration tests, mocking) Familiarity with Git, CI/CD pipelines, and modern development ...

Experience in stream processing frameworks and event‐driven architecture. Hands‐on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in AI‐driven tooling for engineering workflows. Interest in crypto and blockchain technologies. Job Benefits > How we work: Hybrid working ...