101 to 125 of 234 Docker Jobs in the City of London

development practices — Git workflows, automated testing, CI/CD pipelines Excellent communication skills and the ability to lead and collaborate in a fully remote team environment Experience with AWS, Docker, or Kubernetes Background in fintech, SaaS, or payment systems If this sounds like the right fit, please send your CV to Tommy@venchr.co.uk Venchr is an equal-opportunity employer. All More ❯

You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good communication skills What's in it for you: As a Java Developer/ More ❯

agile software development environments. Proficient in modern software development tools (e.g., Git/GitHub, DevOps tools) with a commitment to early commits and frequent deployments. Preferred Qualifications: Experience with Docker or containerized applications, particularly multi-container architecture. Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations. Knowledge of agent-based More ❯

tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯

tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches More ❯

engineering, improve development processes, and ensure robust design and code quality that meets both functional and non-functional requirements. Our Tech Stack: UI: Typescript, React, Next.Js, HTML/CSS, Docker, GitHub Actions, AWS- CDK, ECS, ALB, VPC. API's: Go, Rest, CDK. AWS- CDK, Lambda, API Gateway, Dynamo DB, Event Bridge, S3, Severless and event driven architecture Platforms: Go, CDK More ❯

engineering, improve development processes, and ensure robust design and code quality that meets both functional and non-functional requirements. Our Tech Stack: UI: Typescript, React, Next.Js, HTML/CSS, Docker, GitHub Actions, AWS- CDK, ECS, ALB, VPC. API's: Go, Rest, CDK. AWS- CDK, Lambda, API Gateway, Dynamo DB, Event Bridge, S3, Severless and event driven architecture Platforms: Go, CDK More ❯

excellent job opportunity for you. Role Title: Software Developer Location: Manchester, Cheltenham or London Clearance required: eDV Duration: 5+ months Role Description: • Java development • Object store configuration and containerisation • Docker, Kubernetes • Back-end software development using Python and Java • Relational databases and SQL • Experience integrating 3rd party software, scripting/glue work • Experience building and deploying web user interfaces • Experience More ❯

excellent job opportunity for you. Role Title: Software Developer Location: Manchester, Cheltenham or London Clearance required: eDV Duration: 5+ months Role Description: • Java development • Object store configuration and containerisation • Docker, Kubernetes • Back-end software development using Python and Java • Relational databases and SQL • Experience integrating 3rd party software, scripting/glue work • Experience building and deploying web user interfaces • Experience More ❯

Collaborate with engineering teams on large-scale data pipelines. Continuously evaluate new tools and technologies. Requirements: Strong Python skills. Experience with AWS and cloud-based systems. Background with Linux, Docker, SQL/relational databases. 2+ years’ industry experience and a STEM degree. Bonus: Spark, Kafka, Terraform, Airflow or similar. What’s on offer: Competitive salary + bonus. Hybrid working More ❯

series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to build systems that move markets? Apply now or DM for more More ❯

series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to build systems that move markets? Apply now or DM for more More ❯

serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree More ❯

regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python, Bash or Go A good communicator who enjoys working collaboratively across product and engineering More ❯

computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of More ❯

computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of More ❯

AKS) and App Services . ✅ Automate infrastructure with Terraform (modules, workspaces, policies). ✅ Build & optimize CI/CD pipelines in Azure DevOps or GitHub Actions . ✅ Manage containers with Docker , Helm , and GitOps workflows. ✅ Implement monitoring & security via Azure Monitor , Log Analytics , Grafana , Prometheus . 💡 Optionally support ACI , Container Apps , or Azure Batch . 🧠 What You Bring Strong Azure experience More ❯

regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn't More ❯

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 ❯

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 ❯

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, reliability More ❯

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, reliability More ❯

in a fast-moving team solving real-world productivity challenges. Key Skills Python API integrations SQL Data modeling Sharepoint Webhooks AI-assisted development (Cursor, LLMs, guardrails) CI/CD, Docker, cloud exposure (Azure, AWS, GCP) Benefits 25 days annual leave + public holidays 7.5% matched pension scheme Private healthcare (includes family cover & pre-existing conditions) Flexible hybrid working (2 days More ❯

using 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 More ❯

using 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 More ❯