501 to 525 of 4,454 Containerisation Jobs in the UK

20 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with More ❯

Salary: £80,000 to £100,000 plus on-call bonus Benefits: Private health insurance, Nest pension scheme, competitive holiday allowance, home office equipment, and more Experience: Minimum ten years in a related role, including at least two in a team More ❯

DevOps Engineer £45,000 - £55,000 Cardiff (1 day per month in office) Role Overview We're looking for a talented DevOps Engineer to join a growing technical team. You'll collaborate closely with software engineers, product owners, QA and More ❯

following programming languages: Java, Python, Golang, or Ruby. Experience with CI/CD workflows and platforms to automate software delivery. Knowledge or experience with cloud platforms such as AWS, containerisation technologies like Docker, version control systems like GitHub, continuous integration tools like Jenkins, container orchestration platforms like Kubernetes and OpenShift, infrastructure-as-code tools like Packer, and configuration management tools … WebSockets and binary communication protocols, enhancing real-time data transfer capabilities. Strong understanding of scaling high-throughput, real-time applications in a cloud-native or distributed environment. Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservice patterns is advantageous. We offer: Experience a dynamic and team-orientated work environment. Opportunities for personal growth and learning. An open, inclusive and supportive More ❯

proficiency in multiple programming languages and frameworks. Some other highly valued skills may include DevOps and Automation: Proficiency in DevOps practices and tools, such as CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible). Security and Compliance : Strong understanding of security best practices and regulatory compliance requirements. Collaboration and Communication: Excellent collaboration and communication skills … identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations. Solutions that appropriately balance risks and More ❯

the creation of cloud-based solutions using AWS, focusing on microservices, event-driven architectures, and serverless computing. Cloud Security: Develop robust security architectures ensuring data protection and regulatory compliance. Containerisation & Orchestration: Architect containerised environments with Kubernetes, ensuring high availability and scalability. Event-Driven Systems: Design event-driven systems with Kafka, managing real-time data processing. Microservices Architecture: Lead the development … years in designing and implementing large-scale, distributed cloud systems, with a strong focus on AWS. Cloud Security: Extensive experience in cloud security architecture and AWS security best practices. Containerisation: Deep expertise in Docker and Kubernetes for orchestration. Event-Driven Architectures: Proven experience with Kafka and event-driven systems. Microservices & Java: Strong background in microservices architecture and Java-based backend More ❯

maintain CI/CD pipelines for automating the deployment of applications. Implement Infrastructure as Code (IaC) using tools like Terraform and ARM templates. Hands-on experience and understanding of containerization and orchestration with Azure Kubernetes and Docker . Design and implement monitoring and observability solutions to ensure the health and performance of cloud resources and applications. Identify opportunities to optimize … cloud architecture, including IaaS, PaaS, and SaaS models. In-depth knowledge of CI/CD pipelines, configuration management, and automation tools (e.g., Azure DevOps, Ansible, Terraform ). Experience with containerization technologies such as Docker and Kubernetes . Proficiency in scripting languages (e.g., Python ) for automation tasks. Knowledge of monitoring tools like DataDog . Solid understanding of networking concepts and security More ❯

security, cost efficiency, and performance. CI/CD Pipeline Management: Oversee the configuration, optimization, and automation of continuous integration and deployment (CI/CD) pipelines using Jenkins and Terraform. Containerization & Orchestration: Manage containerized applications using Docker, Helm, and Kubernetes, ensuring smooth deployments and scaling. Infrastructure as Code (IaC): Use Terraform and Terragrunt for infrastructure provisioning and management, enabling efficient and … with AWS services (EC2, S3, RDS, Lambda, etc.) Proficient in Terraform and Terragrunt for infrastructure as code. Hands-on experience with Jenkins for continuous integration and deployment. Expertise in containerization technologies ( Docker ) and Kubernetes for orchestration. Familiarity with ArgoCD for GitOps-based deployment workflows. Experience with Helm for managing Kubernetes applications. Strong scripting skills (Bash, Python, etc.). Knowledge of More ❯

frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and … the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker More ❯

Develop and implement robust security architectures for cloud solutions, ensuring data protection, regulatory compliance, and alignment with industry best practices (AWS IAM, encryption, VPC, security monitoring, and auditing). Containerisation & Orchestration: Architect and oversee containerised environments using Kubernetes, ensuring high availability, scalability, and fault tolerance for critical applications. Event-Driven Systems: Lead a team to architect event-driven systems using … strong focus on AWS. Additional skills required include: Extensive experience with cloud security architecture, including knowledge of AWS security best practices (IAM, network security, encryption). Deep expertise in containerisation technologies (Docker) and Kubernetes for orchestration in production environments. Proven experience in designing and implementing event-driven architectures, with strong expertise in queue-based systems including Kafka. Strong background in More ❯

frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and … the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker More ❯

frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and … the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker More ❯

FOR Demonstrable experience in a DevOps role at an architecture level. Knowledge of scripting languages such as Bash, Python. Extensive experience with cloud platforms, AWS and Azure. Knowledge of containerization and orchestration (Docker, Kubernetes). Extensive experience with configuration management tooling: Ansible. Extensive experience with infrastructure as code tooling: Terraform, CloudFormation, Bicep. Extensive experience of CI/CD Tooling: GitLab More ❯

management tools such as Ansible, Puppet, or Chef Experience with cloud infrastructure (preferably AWS) Proficiency in at least one programming language (such as Python, Ruby, or Go) Experience with containerization technologies such as Docker and Kubernetes Familiarity with agile development methodologies Excellent communication and problem-solving skills Ability to work independently and as part of a team Experience in a More ❯

management tools such as Ansible, Puppet, or Chef Experience with cloud infrastructure (preferably AWS) Proficiency in at least one programming language (such as Python, Ruby, or Go) Experience with containerization technologies such as Docker and Kubernetes Familiarity with agile development methodologies Excellent communication and problem-solving skills Ability to work independently and as part of a team Experience in a More ❯

adopt modern DevOps practices with a strong emphasis on automation, self-service, and operational excellence. Tech You'll Use: Terraform & GitHub Actions CI/CD, observability tooling (Grafana, Prometheus), containerisation (Docker) What You'll Be Doing: Designing and implementing secure, resilient AWS infrastructure Building CI/CD pipelines and reusable deployment patterns Advising on cloud-native app transformation and microservice More ❯

deployment pipelines (CI/CD) Participate in on-call rotation and provide hands-on production support Tech Stack Cloud: AWS (EKS, ECS, RDS, IAM, Lambda, etc.) IaC: Terraform, Terragrunt Containerisation: Docker, Kubernetes (EKS) CI/CD: GitHub Actions, Argo CD, Helm Monitoring: Prometheus, Grafana, CloudWatch, OpenTelemetry Languages: Python, Bash, Go (bonus) What We're Looking For Strong experience in SRE More ❯

emphasis on automation, self-service, and operational excellence. Tech You'll Use: Azure & AWS (production experience) Kubernetes (EKS preferred) Terraform & GitHub Actions CI/CD, observability tooling (Grafana, Prometheus), containerisation (Docker) What You'll Be Doing: Designing and implementing secure, resilient AWS infrastructure Building CI/CD pipelines and reusable deployment patterns Advising on cloud-native app transformation and microservice More ❯

deployment pipelines (CI/CD) Participate in on-call rotation and provide hands-on production support Tech Stack Cloud: AWS (EKS, ECS, RDS, IAM, Lambda, etc.) IaC: Terraform, Terragrunt Containerisation: Docker, Kubernetes (EKS) CI/CD: GitHub Actions, Argo CD, Helm Monitoring: Prometheus, Grafana, CloudWatch, OpenTelemetry Languages: Python, Bash, Go (bonus) What We're Looking For Strong experience in SRE More ❯

emphasis on automation, self-service, and operational excellence. Tech You'll Use: Azure & AWS (production experience) Kubernetes (EKS preferred) Terraform & GitHub Actions CI/CD, observability tooling (Grafana, Prometheus), containerisation (Docker) What You'll Be Doing: Designing and implementing secure, resilient AWS infrastructure Building CI/CD pipelines and reusable deployment patterns Advising on cloud-native app transformation and microservice More ❯

with configuration management tools such as ansible. Strong skills in building infrastructure using either Terraform or CloudFormation Strong Linux skills (Ubuntu, Debian etc.). Experience of using Docker for containerisation purposes. Strong experience of building and maintaining CI/CD pipelines using the likes of GitLab, Jenkins, CircleCI, CodeBuild etc. Familiarity with scripting (Bash or Python). Monitoring and alerting More ❯

deployment pipelines (CI/CD) Participate in on-call rotation and provide hands-on production support Tech Stack Cloud: AWS (EKS, ECS, RDS, IAM, Lambda, etc.) IaC: Terraform, Terragrunt Containerisation: Docker, Kubernetes (EKS) CI/CD: GitHub Actions, Argo CD, Helm Monitoring: Prometheus, Grafana, CloudWatch, OpenTelemetry Languages: Python, Bash, Go (bonus) What We're Looking For Strong experience in SRE More ❯

deployment pipelines (CI/CD) Participate in on-call rotation and provide hands-on production support Tech Stack Cloud: AWS (EKS, ECS, RDS, IAM, Lambda, etc.) IaC: Terraform, Terragrunt Containerisation: Docker, Kubernetes (EKS) CI/CD: GitHub Actions, Argo CD, Helm Monitoring: Prometheus, Grafana, CloudWatch, OpenTelemetry Languages: Python, Bash, Go (bonus) What We're Looking For Strong experience in SRE More ❯

adopt modern DevOps practices with a strong emphasis on automation, self-service, and operational excellence. Tech You'll Use: Terraform & GitHub Actions CI/CD, observability tooling (Grafana, Prometheus), containerisation (Docker) What You'll Be Doing: Designing and implementing secure, resilient AWS infrastructure Building CI/CD pipelines and reusable deployment patterns Advising on cloud-native app transformation and microservice More ❯

with AWS, RHEL, Terraform, and Ansible Experience with NodeJS, ReactJS, RESTful APIs, Elasticsearch, and Apache NiFi Design and implementation of CI/CD pipelines with Jenkins, Kubernetes, and OpenShift Containerization skills using Docker, Podman, and Buildah Additional Requirements Eligibility to work in the UK with a valid right to work and security clearance Bachelor's degree or equivalent experience Experience More ❯