226 to 250 of 1,682 Docker Jobs in the UK

with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana More ❯

Experienced in the following languages/tools, must have a proven background of experience - Java, JSON, XML, Microservices, Agile Scrum methodology, Play Framework, mongoDB. Knowledge of these areas - Scala, Docker, Puppet, IntelliJ, IDE, Sbt Knowledge of -Java Development, Weblogic, Webmethods, Java Scripting, J2SE, J2EE, Spring, EJB, HTML, HTML5, Unix, Eclipse, SOAP, XML, REST, JBOSS, Apache, Tomact, SQL, Hibernate, JUnit, Selenium More ❯

within a distributed team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. More ❯

within a distributed team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. More ❯

the following; ** Java (ideally SpringBoot) ** Microservices ** Test Driven Development ** Front end Development (HTML, CSS and JavaScript) ** Working with Databases (ideally PostgreSQL) Experience with the following is highly desirable; ** DevOps; Docker and Kubernetes ** Cloud Services (AWS, Azure, GCP, OpenShift) ** Reactjs + TypeScript This opportunity would be ideal for an ambitious Software Engineer that is looking for a collaborative team, that are More ❯

DevOps principles and hands-on experience with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins. Azure Kubernetes Service: Proven experience designing and managing AKS clusters Containerization: Docker, Kubernetes, Helm charts, and container orchestration Azure DevOps: Advanced pipeline configuration for container builds and deployments Additional certification: Microsoft Certified: Azure Kubernetes Service (AKS) Specialist or similar container-focused Azure More ❯

data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

for persistent storage solutions. Collaborate with cross-functional teams to define, design, and deliver new features. Integrate applications with cloud services on AWS. Manage application containerization and orchestration using Docker and Kubernetes. Implement event-driven architectures using Kafka for messaging and event streaming. Write clean, efficient, and well-documented code. Troubleshoot and resolve issues across the software development lifecycle. Participate More ❯

data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. More ❯

systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. More ❯

manage and deliver large-scale, high-performance applications. Familiarity with streaming/event-driven techniques and microservices architecture. What Will Set You Apart Knowledge of DevOps tools such as Docker and Kubernetes. Experience with Kafka and Agile methodologies. Financial Services experience is desirable but not essential. Commitment to fostering a diverse and inclusive work environment. Excellent communication skills and ability More ❯

or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables More ❯

or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables More ❯

or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables More ❯

Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant More ❯

Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant More ❯

keep DBT services resilient and reliable. - Mentor junior engineers and contribute to the growth of the SRE function. Technologies you will work with include AWS, Azure, Terraform/CloudFormation, Docker, ECS, ECR, ElasticSearch, Python/Django, PostgreSQL (RDS), Redis, and more. Essential Criteria - Cloud experience with AWS, Azure or Google Cloud. - Ability to build reliable, well-tested infrastructure as code More ❯

as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join Gemba? Gemba is built upon four core values that we believe make More ❯

engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer More ❯

engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer More ❯

PHP development experience, including strong knowledge of Laravel. Strong understanding of object-oriented programming, design patterns, and application architecture. Proficiency with MySQL and SQL Server. Hands-on experience with Docker and containerised development environments. Proven experience in API development and third-party integrations. Strong understanding of testing practices and CI/CD workflows using Git. Excellent problem-solving, debugging, and More ❯

review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power More ❯

security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day – an extra day to 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 ❯