1 to 25 of 99 Docker Jobs in Northern Ireland

Azure DevOps, Artifactory). Strong experience with Infrastructure as Code (Terraform) , Configuration as Code (Ansible) , and automation scripting (Python/JavaScript). Proficient in Docker and Packer . Familiarity with cloud architecture, networking, and build management tools (Nuget, Maven). Experience with Agile methodologies (Jira), monitoring tools (Elastic/Splunk More ❯

Ideally some programming skills in languages like Python, Java, or Scala, with experience in automation and scripting. Experience with containerization and orchestration tools like Docker and Kubernetes is a plus. Experience with data governance, data security, and compliance best practices. Understanding of software development methodologies and best practices, including version More ❯

Actions, Jenkins) and the ability to design and implement efficient CI/CD pipelines Containerization and Orchestration: Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) Monitoring and Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., Apache More ❯

and ability to work independently. Excellent communication and teamwork skills. Exposure to DevOps practices and CI/CD pipelines. Experience with containerisation technologies like Docker and Kubernetes. Understanding of messaging systems such as Kafka or RabbitMQ. If you are a Java Engineer looking for your next challenge, apply now to More ❯

MVC , and related frameworks Understanding of REST API development , SQL/MySQL , and microservice architecture Familiarity with DevOps tools: Git, Maven, Jenkins , and containerisation (Docker/Kubernetes) Strong commitment to quality, clean code, and continuous delivery Excellent problem-solving skills and a collaborative mindset Agile development experience in a team More ❯

skills include: Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong More ❯

operations to enable future scale. Our backend engineering teams specialize in developing robust and scalable Go microservices, leveraging a tech stack that includes AWS, Docker, Postgres, and Kafka. We’re looking for engineers who are passionate about building high-quality solutions and who thrive in a dynamic and collaborative environment. More ❯

cloud platforms (Azure IoT Hub, AWS IoT, or similar). Proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, or similar). Familiarity with containerisation (Docker, Kubernetes) . Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, CloudFormation) . Strong problem-solving skills and ability to More ❯

scripting and automation skills (e.g., Python, JavaScript). Proficiency in tools such as Jenkins, CircleCI, GitHub/GitLab, Terraform, and Ansible. Familiarity with containerization (Docker), networking, and cloud security principles. Understanding of infrastructure, version control, and build management tools. Experience supporting production systems and leading DevOps transformation initiatives. Nice to More ❯

and debugging skills. • Strong communication and collaboration skills. Nice to have, but not essential: • Exposure to ServiceNow, or other enterprise applications. • Knowledge of Kubernetes, Docker, and containerization for API deployments. #LI-LW1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork More ❯

in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of More ❯

in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of More ❯

Qualifications (for all levels): Experience with high-frequency trading, quantitative finance, or IoT applications. Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Familiarity with monitoring tools (Splunk, Grafana, Prometheus, etc.). Background in C++, Python, or Java for integration with KDB+. Location & Workplace Type: This More ❯

with stream processing (Kafka, Flink). Experience with dbt, Snowflake, Airflow. Experience with other programming languages Python, Java, Scala, F#. Kubernetes/OpenShift/Docker, helm templates. PERKS & BENEFITS Annual Discretionary Bonuses. Annual Training Allowance. Pension Scheme. Charity Donation Matching. Complimentary breakfast and lunch. Health and Life Insurance. Health and More ❯

AWS and clustered datastores such as Cassandra Participate in sustainable on-call incident response followed by blameless postmortems Automate infrastructure through Terraform, ansible, and Docker/Kubernetes The skills you'll bring include: Comfortable with one or more of: Python, Ruby, Javascript, Java AWS, Azure or GCP experience would be More ❯

skills to complement their core Java skills. In this role you can expect to work with technologies such Google Cloud Platform, Argo workflows, Kubernetes, Docker and Jenkins to name but a few. Internal mobility and flexibility are a key part to our agile approach to technology delivery. The successful candidate More ❯

Jenkins, GitLab CI, Azure DevOps). Experience with API testing tools (e.g., Postman, RestAssured). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: ISTQB or equivalent certification. Experience with performance testing tools (e.g., JMeter, Gatling). Knowledge More ❯

Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach More ❯

deploying REST/SOAP APIs using JSON and XML Hands-on experience with Kafka (setup, maintenance, stream processing) Proficiency with containerisation tools such as Docker and Kubernetes Strong working knowledge of RDBMS (SQL Server, Oracle, DB2) and/or NoSQL (e.g., MongoDB) Experience in building CI/CD pipelines and More ❯

complex challenges. Must-haves: Expert in JavaScript, Python, Go, or Rust Deep understanding of system design and cloud-native architectures Skilled in containerization & orchestration (Docker, Kubernetes) Bonus points for: 8+ years of experience shipping production-grade software Real-world experience scaling systems in startup/hypergrowth environments Knowledge of AI More ❯

investment in technical initiatives Actively engage in post-deployment stability, incident management, and platform reliability Tech Environment: .NET, Java, React, AWS, SQL, microservices, containerisation (Docker/Kubernetes), DevOps tooling (GitLab, TeamCity, Octopus), event-driven architecture, REST APIs, testing frameworks (xUnit, Jest, Cypress). About You: Proven experience leading multiple software More ❯

and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills More ❯

debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to complex requirements into functional and actionable tasks. More ❯

programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment More ❯

and constantly improving the existing solutions. We work with all major cloud providers (AWS, GCP, Azure) and use cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities Responsible for the entire lifecycle of various short-life projects, from initial design and development to deployment More ❯