1 to 25 of 569 Containerisation Jobs in London

implement highly efficient architecture. Ability to analyze infrastructure and implement security best practices. Experience with infrastructure monitoring tools like Nagios, Prometheus, Grafana. Expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes and Rancher. Familiarity with infrastructure as code tools such as Terraform, CloudFormation, Ansible, etc. Experience in More ❯

convey and or understand complex technical concepts clearly and concisely SRE skills including observability and telemetry monitoring HashiCorp Suite (Packer, Terraform, Vault, Vagrant, Consul) Containerisation using Docker, Kubernetes, OpenShift & Helm Programming skills using languages such as Python, Go, Java, C# and Typescript. Security clearance: To successfully join our client's More ❯

Dynatrace, Datadog, Prometheus, Grafana. • Version Control: Strong understanding of Git and version control practices. • Scripting: Skills in scripting languages like Bash, PowerShell, or Perl. • Containerization: Familiarity with Docker and orchestration tools like Kubernetes. Soft Skills: • Collaboration: Excellent teamwork and communication skills to work effectively with cross-functional teams. • Problem-Solving More ❯

Dynatrace, Datadog, Prometheus, Grafana. • Version Control: Strong understanding of Git and version control practices. • Scripting: Skills in scripting languages like Bash, PowerShell, or Perl. • Containerization: Familiarity with Docker and orchestration tools like Kubernetes. Soft Skills: • Collaboration: Excellent teamwork and communication skills to work effectively with cross-functional teams. • Problem-Solving More ❯

code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time More ❯

code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time More ❯

ability to collaborate effectively with cross-functional teams. Cloud Services: Experience with cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging More ❯

such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar with the pattern of Microservice Architecture. You can define container configuration and troubleshoot issues. You're an expert More ❯

security practices. SRE skills, including observability and telemetry monitoring. Hands-on experience with the HashiCorp Suite (Packer, Terraform, Vault, Vagrant, Consul). Experience in containerisation using Docker, Kubernetes, OpenShift, and Helm. Strong programming skills in languages such as Python, Go, Java, C#, or Typescript. Security Clearance Requirements: You must be More ❯

Proficiency in multiple programming languages (e.g., Java, Python, C#, or others) and frameworks. Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Hands-on experience in microservices architecture , API design, and distributed systems. Deep understanding of DevOps practices, CI/CD pipelines More ❯

GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams More ❯

sprint planning and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. Strong proficiency in at least one More ❯

sprint planning and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. 5+ years of professional software development More ❯

sprint planning and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. 5+ years of professional software development More ❯

like Jenkins, GitHub Actions, or GitLab • Learn how to deploy and monitor applications in staging/production environments • Support configuration management, version control, and containerization tasks • Help with cloud infrastructure tasks (AWS, Azure, or GCP – based on team) • Contribute to automation scripts, system health checks, and logs analysis ⸻ 🔍 Who Should More ❯

like Jenkins, GitHub Actions, or GitLab • Learn how to deploy and monitor applications in staging/production environments • Support configuration management, version control, and containerization tasks • Help with cloud infrastructure tasks (AWS, Azure, or GCP – based on team) • Contribute to automation scripts, system health checks, and logs analysis ⸻ 🔍 Who Should More ❯

languages such as Python, Golang, and experience with GitOps. Solid understanding of networking concepts, security measures, and best practices in cloud environments. Experience with containerization technologies like Rancher, Docker and Kubernetes would be an advantage. Previous experience with orchestration tools, such as Morpheus would be an advantage. Excellent problem-solving More ❯

high-level qualification) in Computer Science or equivalent level of experience. Proficiency in Python and some level of Shell scripting experience. Familiarity with Linux containerization concepts. Willingness and ability to work to an Agile methodology. Experience with CI/CD, release management, and DevOps practices - working with GitLab CI/ More ❯

Expertise in setting up, managing, and optimizing CI/CD pipelines using Azure DevOps, GitHub Actions, and Jenkins , ensuring smooth and automated deployments. Kubernetes & Containerization : Strong understanding of Azure Kubernetes Service (AKS) , Docker , and Helm charts , with experience in orchestrating containerized applications. Security & Compliance : Solid grasp of Azure Security best More ❯

Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Applicants will need to be eligible to work in the More ❯

as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable Knowledge More ❯

Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB () our in-house developed DataFrame More ❯

Code quality tools like SonarQube Agile methodologies (Scrum, Kanban) Software design patterns Additional preferred skills include experience with machine learning, cloud deployment (AWS, Azure), containerization (Docker, Kubernetes), database systems, and configuration management tools like Ansible. Support and Benefits 25 days holiday with flexible benefits options Flexible and part-time working More ❯

IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with infrastructure-as-code tools (CloudFormation, Terraform) Understanding of cloud security best practices Ability to support DevOps and CI/CD More ❯

control. Experience with CI/CD tools and pipelines (GitHub Actions, Jenkins, GitLab CI). Proficiency with scripting languages (Python, Bash). Understanding of containerisation and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, Azure, GCP). Excellent problem-solving skills and attention to detail. Strong communication and collaboration More ❯