801 to 825 of 3,798 Containerisation Jobs in England

Strong programming skills in at least one OOP language (Python, C#, etc.) Knowledge of CI/CD pipelines Experience with AWS backend technologies (EC2, S3, Lambda, etc.) Experience with containerization tools like Docker, Kubernetes Experience with IaC tools such as Terraform Expertise in testing tools like Selenium, Playwright, NUnit, Behave Our Benefits We offer bonuses, referral rewards, adoption assistance, tuition More ❯

A thorough understanding and commercial experience of AWS cloud technologies, e.g., EC2, ECS, Route53, S3, EFS. - Scripting languages (at least proficient in two), e.g., Python, Bash, PowerShell. - Understanding of containerization, microservice architecture and cloud/software design patterns, GitLab or similar for CI/CD. - Understanding and implementation of security hardening and vulnerability management. - Understanding and management of identity providers More ❯

monitoring and improving application performance. ● Experience with continuous integration and continuous deployment (CI/CD) practices. ● Proficiency with tools like Terraform/IaC tooling and GitHub Actions. ● Familiarity with containerization tools such as Docker. ● Experience with cloud-based services and environments (e.g., AWS, GCP, Azure). ● Excellent problem-solving skills and attention to detail. ● You approach software delivery pragmatically, balancing More ❯

Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non More ❯

Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non More ❯

grade solutions. Experience with cloud platforms (AWS, GCP, or Azure). Hands-on knowledge of API development, automation, and Infrastructure as Code (IaC) tools (e.g., Terraform). Experience in containerisation and orchestration (e.g. Kubernetes). Familiarity with building secure systems, adhering to enterprise security and compliance standards. Strong collaboration skills, with the ability to influence and align teams on a More ❯

of: Backend Java development and its ecosystem (Spring boot, Maven) Frontend development and its ecosystem (React, Npm) Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

GitHub and best practices. Knowledge of the software testing pyramid and types of automated testing (smoke, component, unit, performance, load, end-to-end). Experience with Docker and other containerization platforms. Proven ability to collaborate in a fast-paced 'agile' team, preferably using 'scrum'. In addition, some nice to haves are: A Masters-level qualification in a STEM field. More ❯

ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including infrastructure as code (IaC), automated testing, containerisation (Docker, Kubernetes), and CI/CD pipelines Working knowledge of embedding compliance and security in ML systems, including governance, access controls, and regulatory alignment (e.g., GDPR, HIPAA) Proficient with modern More ❯

in CI/CD, infrastructure automation, and system monitoring Key Skills and Experience: Working knowledge of C# for system integration and legacy support Strong understanding of microservices architecture and containerization Proficient in Linux environments for development and deployment Hands-on experience with DevOps tools, ideally in an Azure cloud environment Excellent problem-solving and leadership skills Background in industrial automation More ❯

Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non More ❯

maintained CI/CD pipelines that automate the building, testing, and releasing of software; using tools such as Jenkins, Sonarqube, Azure DevOps, Github actions, or similar. Working knowledge of containerisation and orchestration tools such as Docker and Kubernetes, ideally running on Azure (AKS). Experience integrating and configuring various logging, monitoring, and alerting tools (e.g. Splunk, New Relic) that provide More ❯

teams and collaborate with both technical and business units. Preferred Qualifications: Certification in TOGAF, Azure or AWS Certified Solutions Architect, or other related architecture certifications. Familiarity with microservices architecture, containerization (Docker, Kubernetes), and APIs. Experience in designing solutions for industries like [insert specific industry if applicable, e.g., healthcare, finance, etc.]. Familiarity or experience in banking systems and banking business More ❯

CD pipelines. AI literacy, with the ability to understand, utilize, and strategically apply AI Dev Tools in a professional context, to boost productivity and innovation. Knowledge of Docker and Containerization, and experience with frontend technologies such as Angular or ReactJS, are nice to have. What We Bring Join our Threat Reporting and Response team to accelerate your career journey, working More ❯

maintained CI/CD pipelines that automate the building, testing, and releasing of software; using tools such as Jenkins, Sonarqube, Azure DevOps, Github actions, or similar. Working knowledge of containerisation and orchestration tools such as Docker and Kubernetes, ideally running on Azure (AKS). Experience integrating and configuring various logging, monitoring, and alerting tools (e.g. Splunk, New Relic) that provide More ❯

scripting Strong experience with a programming language such as Python, Java, etc Strong experience with monitoring and observability tools (Prometheus, Grafana, Splunk, Geneos, OpenTelemetry, Corvil) Familiarity with cloud platforms, containerization (e.g., Kubernetes, Docker), and CI (Continuous Integration)/CD (continuous Delivery) pipelines Strong understanding of the trade lifecycle and fundamental trading systems and knowledge of FX related products and market More ❯

and scaling of models. • Deep understanding of ML Ops practices, infrastructure automation, and the ML lifecycle in production environments. • Solid experience with cloud-native architecture (AWS, GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. More ❯

Skills: Understanding of high-availability systems architecture and the ability to support scalable and robust systems. Proficiency in at least one scripting language (Python, Bash, etc.). Familiarity with containerization and orchestration tools (Kubernetes). Exposure to infrastructure as code (Terraform) concepts. Familiarity with monitoring, logging, and security tools (e.g., Prometheus, Grafana, Splunk, BQL). Experience supporting either Windows or More ❯

Linux operating systems (CentOS, Red Hat, Ubuntu). Experience in building scalable and automated cloud platforms on AWS. Familiarity with infrastructure automation tools (CloudFormation, Terraform, Ansible). Knowledge of containerisation technologies and orchestration platforms (e.g., Docker, Kubernetes, ECS). Experience with Jenkins pipelines. Advocacy for best practices and familiarity with tools that support them. Strong communication skills and a collaborative More ❯

strong HTML & CSS knowledge. Proven experience in designing & developing modular frontend experiences, working with non-technical partners such as User Experience and demoing work to stakeholders. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

customer-facing exposure. • Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and familiarity with the others. • Strong understanding of cloud infrastructure, microservices, containerization (e.g., Docker, Kubernetes), and serverless architectures. • Proficiency in creating architecture diagrams, technical documentation, and deployment models. • Familiarity with CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and automation More ❯

ll bring: Experience of Java AWS Experience of Spring framework or equivalent. Knowledge of software design patterns and when to apply them Excellent knowledge of development processes. Experience of containerisation using Docker or Kubernetes Experience of Continuous Integration (CI) and Continuous Delivery (CD) A passion for delivering quality code, by use of TDD and setting high software quality standard Designing More ❯

testing framework, e.g., Jest API Testing DevOps IaC, specifically Terraform AWS e.g. EC2/ECS/Fargate Monitoring and alerting tooling e.g. Grafana/Kibana/Mpulse/Rigor Containerisation e.g. Docker Whats in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) plus paid volunteer time Annual bonus scheme Enhanced maternity and adoption leave Company pension More ❯

Spark internals, including RDDs, DataFrames, DAG execution, partitioning, and performance optimization techniques. Experience with designing and managing Airflow DAGs, scheduling, and dependency management. Knowledge of CI/CD pipelines, containerization technologies (Docker, Kubernetes), and DevOps principles applied to data workflows. Excellent problem-solving skills and a proven ability to optimize large-scale data processing tasks. Prior experience in leading teams More ❯

testing framework, e.g., Jest API Testing DevOps IaC, specifically Terraform AWS e.g. EC2/ECS/Fargate Monitoring and alerting tooling e.g. Grafana/Kibana/Mpulse/Rigor Containerisation e.g. Docker What’s in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) plus paid volunteer time Annual bonus scheme Enhanced maternity and adoption leave Company More ❯