151 to 175 of 1,437 Containerisation Jobs in the UK

cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services, and infrastructure-as-code (Terraform or equivalent).Preferred QualificationsPrior experience as a tech lead or staff engineer ...

scripting in Python and/or shellDeep hands-on experience with CI/CD tooling and building release automation at scaleStrong experience with Kubernetes, containerisation, and cloud-native operationsProven experience running production services: observability, on-call, incident response, and reliability engineeringUnderstanding of production security and change-management controlsStrong communication skills ...

Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation, and cloud-native operations Proven experience running production services: observability, on-call, incident response, and reliability engineering Understanding of production security and change-management controls ...

cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines ...

cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines ...

Microsoft Azure or Google CloudPlatforms Experience of designing, deploying and administering Linux or Unix based solutions would be advantageous e.g. using virtualisation, containerisation, Infrastructure as CodeExperience with performance monitoring tools e.g. Elastic Stack, GrafanaYour Future Team: “As a Lead DevOps Engineer I implement and improve end to end CI/ ...

/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven Design ...

cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling ...

GitHub Actions, Jenkins, or DroneCI.Experience with configuration as code tools like Terraform, or Cloudless.Strong knowledge of cloud platforms (AWS , Azure, GCP).Familiarity with containerization technologies (Docker, Helm/Kubernetes).Scripting skills in languages such as Python, Bash, or PowerShell.Understanding of networking, security, and system administration.What’s in it for youAt ...

native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data ...

Data: SQL, data pipelines/ETL/ELT, caching strategies, data quality checks, reproducible inputs/outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g. Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Benefits Competitive base salary. 25 days ...

native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data ...

financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master’s degree in Computer Science, Finance, or a related field; professional certifications such ...

work effectively in multi‐supplier environments or within a single‐team delivery model Proven leadership abilities, including mentoring and coaching team members Knowledge of containerisation and orchestration tools, such as Docker and Kubernetes Up‐to‐date cloud certifications are desirable Understanding of automation in development, testing, and operations, including ...

Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What ...

Request for Comments (RFC) process.End-to-End Ownership: Embrace our "You build it, you own it" philosophy by taking full responsibility for the development, containerization, deployment, and ongoing maintenance of your services.Observability & Quality: Ensure your code is reliable, highly testable, and well-covered by unit and integration tests. Integrate robust ...

financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.* Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such ...

relevant AI/ML credentials.Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases ...

binding/attestation, and experience in consolidating fragmented user identities into a unified identity model.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.Experience with Domain-Driven Design (DDD) and standardizing ...

Comments (RFC) process. End-to-End Ownership: Embrace our "You build it, you own it" philosophy by taking full responsibility for the development, containerization, deployment, and ongoing maintenance of your services. Observability & Quality: Ensure your code is reliable, highly testable, and well-covered by unit and integration tests. Integrate robust ...

object‐oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (JUnit, Mockito). Experience working in Agile/Scrum development environments. ...

skills.Preferred Qualifications, Capabilities, and Skills:Multi Region disaster recovery setup, monitoring and testing.Experience in Data pipelines using Spark.Exposure to AWS & Databricks Platform administration.Knowledge of containerization (Docker, Kubernetes) and orchestration.Familiarity with distributed systems and large-scale data processing.J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

best practices in the Cloud Native and Platform Engineering space. About You Scale Experience: Proven experience building and operating large-scale distributed systems. Containerization: Strong experience running web-scale deployments of containerized systems using Kubernetes and/or Amazon container services (ECS/EKS). Problem Solver: A proactive approach ...

financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.Master's degree in Computer Science, Finance, or a related field; professional certifications such ...

StencilJS, Web‐components & TypeScript. In‐depth knowledge of AWS services, including but not limited to ECS, S3, Lambda, RDS, API Gateway, CDK. Experience with containerization technologies such as Docker. Proficient in SQL and NoSQL databases (e.g. SQL Server, PostgreSQL, DynamoDB). Strong understanding of RESTful APIs and microservices architecture. Leadership ...