26 to 50 of 108 Docker Jobs in Slough

candidates who bring: Proven experience managing cloud infrastructure at scale using Terraform or similar Infrastructure as Code (IaC) tools. Deep understanding of large-scale deployment strategies, container orchestration (Kubernetes, Docker), and cloud platforms ( GCP, AWS or Azure ). Experience in applying statistical and machine learning techniques to unstructured data, particularly with image and geometric datasets. Proficiency with data science and More ❯

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 Have More ❯

Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices. Passionate about code quality, data integrity, and building scalable and robust systems. Ability to communicate clearly with technical and non-technical colleagues. This More ❯

reliability We’re Looking For: 5+ years of Java engineering experience (Java 11+; ideally Java 21) Strong background with Spring Boot , microservices, and cloud-native design Hands-on with Docker, Kubernetes , AWS , and containerised deployments CI/CD pipeline experience with GitHub or similar tools Exposure to high-velocity teams with frequent releases Excellent collaboration and communication skills in a More ❯

or more of: .NET, Java, Go, Node.js Frontend experience with React, Vue, or Angular Solid experience with AWS and cloud-native architectures Familiarity with CI/CD, Terraform, containerisation (Docker/K8s) A TDD and best practices mindset – you care about clean, maintainable code Excellent communication skills – able to explain complex solutions clearly Previous experience in a consultancy or contract More ❯

maintaining applications in the cloud (Azure, AWS, GCP or similar Desirable Technical Skills: The following skills are nice-to-have and we welcome applicants without the experience stated below. • Docker and Kubernetes • Experience in designing and maintaining microservices • Knowledge of event-based architecture. • Experience of working with DLT technologies More ❯

. Experience setting up CI/CD pipelines and integrating with Git-based workflows. Familiarity with monitoring, observability, and logging stacks (CloudWatch, ELK, Prometheus, Grafana). Knowledge of containerisation (Docker). Interest in capital markets infrastructure (e.g. market-making, SBL, or Delta One) or prior experience supporting trading systems. Example Projects You May Work On Deploying their proprietary trading platform More ❯

cloud data warehousing technologies. Background in anomaly detection, rule-based AI, NLP, or data reconciliation. Hands-on experience with version-controlled notebooks, CI/CD for ML, or containerisation (Docker/Kubernetes). Core Competencies: Strong problem-solver with a data-driven mindset. Practical and commercially aware in applying AI/ML to FS use cases. Independent thinker who thrives More ❯

sensitive data, ensuring data privacy, encryption, and access control in accordance with regulatory standards. Familiarity with data anonymization and masking techniques for handling sensitive datasets. Proficiency in containerization using Docker for packaging and deploying data applications in local and cloud environments. Experience writing unit tests and integrating data pipelines into CI/CD workflows using AWS CodeBuild, CodePipeline, and GitHub More ❯

and Prisma ORM. Knowledge of Python for backend or data-related tasks. Exposure to Azure services, such as IoT Hub, Azure Functions, and other cloud-native services. Understanding of Docker, Kubernetes, and cloud deployments. What we look for in our people Firstly, we embrace the value of Athletes Grit. This means having an unwavering determination and never giving up, even More ❯

do: Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/CD workflows into production Contribute to architecture for local and cloud deployment What we’re looking for: Strong skills in Python More ❯

serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note, this role 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 ❯

as Lovable, Bolt, or Cursor as a 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 More ❯

and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge More ❯

data-driven decisions. What we’re looking for Extensive professional experience with Python and object-oriented programming. Strong SQL and relational database skills. Familiarity with modern DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Exposure to AWS and Snowflake is highly desirable. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate across More ❯

Git 1+ year with Tailwind CSS, Next.js, Express.js, MongoDB, and AWS/GCP High level of English language proficiency Bonus if you’ve worked with: Testing (Vitest/Jest) Docker CI/CD tools (e.g. GitHub Actions) Component libraries (e.g. Shadcn, MUI) Microservices Cloudflare or other CDNs Firebase Google Maps API Startup environments We Value The right candidate will be More ❯

or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. Travel & Location Open to applicants More ❯

Snowflake (data warehousing, integration, automation). Exposure to ML Ops (deploying and maintaining machine learning models). Familiarity with security tooling (e.g., Snyk, Checkov, vulnerability scanners). Understanding of Docker, Kubernetes, or other container orchestration platforms. Scripting experience (e.g., Python, Bash) for automation tasks. Background in financial services, RegTech, or other regulated environments. Core Competencies Ownership and accountability in delivering 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 Requirements 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, especially design of data visualisations. Knowledge More ❯

efficiency across AWS services 🎯 What We're Looking For: Strong hands-on experience with AWS (EC2, S3, Lambda, RDS, etc.) Proficiency in scripting (Python, Bash, etc.) Familiarity with containerization (Docker, Kubernetes) Experience in CI/CD and infrastructure as code AWS certifications are a plus 🌟 What We Offer: Exciting contract opportunity with a leading tech team Flexible working arrangements (hybrid More ❯

AWS, GCP, or Azure). Proven ability to build, tune, and deploy ML models into production. Experience developing and maintaining high-performance APIs and backend services. Proficiency with Kubernetes, Docker, Airflow, Jenkins, and Harness. Familiarity with Redis and CI/CD pipelines. Excellent software architecture and code review skills. Experience with GitHub, MSFT Copilot, and collaborative, agile teams. Comfortable adopting More ❯

Exposure to databases (Realm/CoreData). An advocate of clean coding practices . Tech they use (and love): iOS | Android | Swift | Kotlin | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for the team: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A say in 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 ❯

An advocate of clean coding practices . Additional knowledge of Swift is beneficial. Tech the team use (and love): Android | iOS | Kotlin | Swift | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for our partner: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A say in More ❯