101 to 125 of 936 Containerisation Jobs in the UK

implementing AI observability and LLM telemetry. Desired Experience integrating AI platforms with enterprise systems and APIs. Knowledge of cloud-native AI deployments. Experience with containerisation technologies such as Docker and Kubernetes. Familiarity with CI/CD pipelines and MLOps practices. Experience working with vector databases, Retrieval-Augmented Generation (RAG), embeddings ...

depth knowledge of CI/CD principles and hands-on experience with tools such as Jenkins, GitLab CI/CD, or CircleCIStrong understanding of containerization (e.g., Docker, Kubernetes) and microservices architectureSkilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatchExcellent analytical and troubleshooting abilities ...

depth knowledge of CI/CD principles and hands-on experience with tools such as Jenkins, GitLab CI/CD, or CircleCIStrong understanding of containerization (e.g., Docker, Kubernetes) and microservices architectureSkilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatchExcellent analytical and troubleshooting abilities ...

GitHub Actions, CI/CD, DevOps automation, and Infrastructure-as-Code.•Experience with Azure/AWS/GCP cloud platforms.•Strong knowledge of Kubernetes, containerization, and cloud-native platforms.•Deep understanding of Data Mesh, Data Governance, Security, and Compliance.•Experience with observability, monitoring, and platform operations.•Strong stakeholder management ...

random. Can be as little as 0 a month to a few a month). Relevant experience in a majority of these concepts Containerisation (Docker & Kubernetes). In-depth knowledge of Linux operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform ...

Amazon Aurora. Expert-level Python development skills. Proven experience designing and building highly available, scalable and resilient software solutions. Strong experience with containerisation and orchestration technologies, including Docker, Kubernetes and Helm. Experience with Git, Infrastructure as Code (IaC) and CI/CD practices. Good understanding of Test-Driven Development ...

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 ...

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/ ...

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 ...

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 ...

Core Software Engineering across a variety of languages, e.g. JavaScript frameworks (React, NextJS), TypeScript, Python, JavaREST API developmentOpenAPI/SwaggerCloud services (AWS or Azure)Containerisation & Orchestration (Docker, Kubernetes, OpenShift)Infrastructure as Code (Terraform, Ansible)Relational Databases (e.g. PostgreSQL)Elasticsearch/OpensearchUnit testing and automationTesting frameworks (e.g. Mocha, Jest, Cypress)Experience ...

Core Software Engineering across a variety of languages, e.g. JavaScript frameworks (React, NextJS), TypeScript, Python, JavaREST API developmentOpenAPI/SwaggerCloud services (AWS or Azure)Containerisation & Orchestration (Docker, Kubernetes, OpenShift)Infrastructure as Code (Terraform, Ansible)Relational Databases (e.g. PostgreSQL)Elasticsearch/OpensearchUnit testing and automationTesting frameworks (e.g. Mocha, Jest, Cypress)Experience ...

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 ...

Code and configuration management tools such as Terraform, Ansible or similar technologies. Experience supporting enterprise applications, APIs, databases and service-oriented architectures. Knowledge of containerisation and orchestration technologies such as Docker, Kubernetes, OpenShift and Helm. Experience implementing monitoring, logging, alerting and observability solutions. A solid understanding of operational resilience, deployment ...

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 ...

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 ...

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

cloud platforms (e.g., AWS, GCP, Azure).Proficiency in scripting languages (e.g., Python, Bash).Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with monitoring tools (e.g., Datadog, Splunk).Experience with Database performance monitoring and tuning (e.g., NoSQL, SQL).Experience with ...

ADLS Gen2/Blob)Proficiency in SQL (querying, performance tuning, data workflows)Strong Python and Bash scripting skillsSolid experience with Linux system administrationExposure to containerization (Docker, Kubernetes)Knowledge of security best practices in Azure (RBAC, managed identities, Key Vault)DevOps & Engineering PracticesCI/CD tools (GitLab, GitHub, Azure DevOps ...

Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, or CDK, with a proven track record of automating cloud infrastructure deployments.Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS.Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such ...