1 to 25 of 128 Permanent Docker Jobs in Berkshire

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

. Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). More ❯

. Strong background as a Java Architect/Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience More ❯

Confluence , or Azure DevOps for tracking stories, tasks, and sprint progress. Nice to Have: · Exposure to CI/CD tools like Jenkins, GitLab CI/CD , etc. · Knowledge of Docker, Kubernetes, or any container orchestration · Experience with message brokers like Kafka or RabbitMQ Educational Qualification: Bachelor’s degree in Computer Science, Information Technology, or related field. More ❯

teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous work More ❯

implementing cloud solutions across Azure and AWS , supporting enterprise-scale transformation programmes. Developing Infrastructure-as-Code (IaC) and Compliance-as-Code solutions using Terraform, Ansible, Jenkins, Git, Azure DevOps, Docker, Kubernetes, and ARM templates. Building and maintaining monitoring platforms (LogicMonitor, Azure Monitor, CloudWatch) and integrating AIOps with ServiceNow. Delivering automation, APIs, and backend pipelines to support FinOps and governance initiatives. More ❯

both internal and client-facing technical discussions Key Skills & Experience Proficiency in Java, Python, Go, JavaScript/TypeScript Strong experience with frameworks and tools including Spring Boot, React, Node.js, Docker, Kubernetes, and Terraform Deep understanding of modern architecture patterns such as microservices, RESTful APIs, event-driven systems, and clean architecture Experience leading teams in agile delivery environments, ensuring a balance More ❯

Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration More ❯

Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services in Linux/Unix environments. Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive More ❯

applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

APIs . Frontend: Expertise in React , TypeScript , HTML5 , CSS3 , and other modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and Pact . More ❯

or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD tools and containerisation (Docker, Kubernetes). Understanding of system design, distributed systems, and data streaming. Strong problem-solving skills, with the ability to work independently in a fast-paced environment. Desirable Skills Experience with More ❯

or similar Scripting – Bash, Python or Perl and some experience/exposure to IaC tools such as Ansible or Terraform Exposure to containerisation and orchestration platforms eg. Kubernetes and Docker Ability to travel – UK (driving licence required) and international You will need to be a proactive individual who will relish the opportunity to work in a growing and evolving environment More ❯

or similar Scripting – Bash, Python or Perl and some experience/exposure to IaC tools such as Ansible or Terraform Exposure to containerisation and orchestration platforms eg. Kubernetes and Docker Ability to travel – UK (driving licence required) and international You will need to be a proactive individual who will relish the opportunity to work in a growing and evolving environment More ❯

in AWS services (e.g., EC2, S3, RDS, Lambda) and/or Azure. · Hands-on experience with Infrastructure as Code tools (Terraform, ARM, BICEP). · Proficiency in containerisation and orchestration (Docker, Kubernetes/EKS). · Skilled in scripting languages such as Python, Bash, PowerShell, or TypeScript. · Solid understanding of Linux, Windows, and storage systems. · Experience with monitoring and observability tools (Datadog More ❯

end frameworks (e.g. React, Angular, Vue.js) and back-end languages (e.g. Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience applying AI in a business setting—such as integrating AI APIs/services, building AI-powered features, or using AI-assisted development tools (e.g. More ❯

GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

in a collaborative, Agile environment. Desirable Skills Azure certification(s) (e.g., AZ-104, AZ-305, AZ-400). Experience with hybrid cloud and on-premises integrations. Familiarity with containerization (Docker, Kubernetes). Knowledge of cost optimization and FinOps in Azure. More ❯

communication and collaboration skills. • Computer science, software engineering, or relevant technical background required. Desirable: • Experience with maintaining mono-repo (e.g. Nx, Lerna or Turborepo) • Familiarity with containerised environments (e.g. Docker, Kubernetes). • Exposure to monitoring and observability tools (e.g. DataDog, Grafana). • Experience in performance or accessibility testing (e.g. Playwright Lighthouse 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) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. More ❯

and NoSQL databases Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis Experience with containerisation (Docker, Kubernetes), asynchronous processing, DevOps, and cloud deployment environments An ability to solve complex problems, work under shifting priorities, and thrive in a fast-paced startup environment Why this is a More ❯

systems and scripting (Bash, Python, etc.). Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience with containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud More ❯

ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation) and CI/CD pipelines. Familiarity with DevOps practices and containerisation tools (e.g., Docker). Excellent problem-solving skills and ability to work in fast-paced, agile project environments. Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. More ❯