376 to 400 of 916 Containerisation Jobs in the UK

in French is a plus. Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with Agile/Scrum methodologies. Previous experience working in a startup or fast-paced environment. What We Offer: Competitive salary and benefits package. Opportunity More ❯

in French is a plus. Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with Agile/Scrum methodologies. Previous experience working in a startup or fast-paced environment. What We Offer: Competitive salary and benefits package. Opportunity More ❯

Deep understanding of Azure Terraform provider capabilities and limitations Experience integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Understanding of ARM templates and resource management Containerisation and orchestration (Docker, Kubernetes) Knowledge of core services (Virtual Networks, VMs, Storage, App Services, etc.) Experience with Azure AD, RBAC, Key Vault, and security best practices Proficiency with Git workflows More ❯

TO HAVE To be successful, you should have: Strong hands-on experience with Linux (RedHat preferred) Shell scripting skills (e.g., Bash, KornShell) Knowledge of AWS cloud environments Familiarity with containerisation (Kubernetes) and IaC tools (Terraform) Experience with server storage and volume management (RAID, LVM) Exposure to hardware/infrastructure (especially Dell) NICE TO HAVE Experience automating OS and middleware builds More ❯

solving skills with a proactive attitude towards learning new technologies. Strong communication skills , highly effective in collaborative and distributed team settings. Technologies You'll Work With: C++ , Python Docker , Containerization, CI/CD (GitLab) GStreamer for media pipelines (video/audio) ElasticSearch , Kibana for monitoring and analytics High-performance systems and real-time computing Why Join Our Client? This is More ❯

pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker) Problem-solving skills with the ability to troubleshoot model and pipeline issues Strong communication skills for cross-team collaboration Requirements Bachelor's degree in Computer Science, Data More ❯

in log analysis using tools like Splunk or ELK stack Hands-on with tools and platforms such as: Apache NiFi, MinIO, AWS S3 Java & Python applications (deployment, patching, support) Containerisation and deployment technologies such as Docker, Podman, Kubernetes, OpenShift Excellent analytical, troubleshooting, and prioritisation skills Security Clearance You are required to hold an eDV level security clearance Why Apply? Be More ❯

software development lifecycle (SDLC) and CI/CD pipelines. Proven experience building and testing data pipelines in production. Proficiency in Linux. Solid SQL knowledge. Experience with Docker or other containerisation technologies. Proactive approach to solving complex technical challenges. Passion for system optimisation and continuous learning. Ability to adapt solutions for multimedia data workflows. Nice to Have Experience with Kubernetes (k8s More ❯

CI/CD workflows Excellent problem-solving and communication skills Understanding of Waterfall and Agile methodologies Understanding of Authentication and Cyber Security Familiarity with the Twilio platform Knowledge of containerisation technologies (e.g. Docker) Understanding of modern UI and UX Familiarity with SQL and NoSQL databases Growth Path: This role offers opportunities to advance into software engineer positions, senior QA roles More ❯

machine learning, whether through past projects, research, or APIs. A passion for exploring and applying AI in practical business contexts. Familiarity with DevOps practices, cloud environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph More ❯

FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes). What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/ More ❯

Deep understanding of Azure Terraform provider capabilities and limitations Experience integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Understanding of ARM templates and resource management Containerisation and orchestration (Docker, Kubernetes) Knowledge of core services (Virtual Networks, VMs, Storage, App Services, etc.) Experience with Azure AD, RBAC, Key Vault, and security best practices Proficiency with Git workflows More ❯

S3 and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation (Docker, ECS, or EKS). Either some experience of, or an interest in, Python for automation, scripting andinfrastructure tooling. So What's Next? If you are an experienced Cloud Infrastructure More ❯

Redshift, BigQuery, Snowflake). Experience with version control systems (e.g., Git). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of big data technologies (e.g., Hadoop, Spark). Experience in commodities (Agriculture, Natural Gas, Power). For more information about DRW's More ❯

code and design reviews to ensure the quality and maintainability of code. Skills and Qualifications: 5 years' experience providing Infrastructure as Code, scripted solutions for deploying software, application security, containerization, creation of CI/CD pipelines that ensure quality software delivery. Strong knowledge of Azure (AWS, GCP experience a plus) At least 2 years' experience in each of: Microsoft Azure More ❯

Terraform for scalable and secure provisioning. Compliance & Security: Ensure platform provisioning aligns with ISO and SOC compliance standards while collaborating with the InfoSec team to maintain security best practices. Containerisation & Orchestration: Deploy and manage containerised applications using Docker and other orchestration tools. Observability & Monitoring: Provision and maintain observability platforms such as DataDog, Splunk, or New Relic to gain monitoring and More ❯

/Django • Experience contributing to platform transitions or systems consolidation projects • Familiarity with TailwindCSS, component libraries, or design systems • Exposure to geospatial or scientific data interfaces • AWS cloud services, containerisation (e.g., Docker), deployment workflows including CDK/SAM, Infra as code • Previous experience in early-stage or growth-stage product-oriented startup environments Personal characteristics You are a hands-on More ❯

customer focussed professional to join our clients Cloud 'Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support More ❯

continuous delivery Collaborate closely with operations to ensure high availability and performance of applications Core Technologies: Python (Django, FastAPI, Flask), Node.js Relational and non-relational databases (e.g. SQL, MongoDB) Containerisation with Docker, Git, CI/CD pipelines Cloud orchestration tools such as Kubernetes and Terraform We are looking for someone with: Strong experience in production-level Python development A background More ❯

internal engineering teams across time zones to onboard and troubleshoot integrations. Produce clear, user-focused documentation, sample code, and run regular "office hours" to drive adoption. Stay current on containerization, cloud-native patterns, and emerging DevSecOps best practices. Propose and prototype enhancements to tooling, workflows, and our overall security posture. Required Skills & Experience Software Engineering 5+ years in web-based More ❯

concepts and best practices. Experience with VueJS, Nuxt, and Typescript. Familiarity with developing performant and fault-tolerant APIs. Proficiency in designing and maintaining MySQL databases. Experience with Docker for containerization and deployment of application services. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Strong expertise in CI/ More ❯

Jest/Vitest, React Testing Library, Cypress, xUnit, or similar) Significant familiarity with CI/CD pipelines and cloud-based deployment (experience with Azure would be advantageous) Experience with containerisation and orchestration technologies like Docker and Kubernetes (K8s) Strong awareness of security best practices Computer science degree or similar Discussion Topic Sorry, you aren't permitted to apply to this More ❯

systems. Strong impartial report writing optimised for the reader. Aptitude for planning, constructing, and executing responsibilities & duties above. English- C1 level. Desirable Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc. More ❯

issues. Experience: Technical Skills: Proven experience in a government or public sector role. Extensive knowledge of AWS services and best practices. Proficiency in Node.js and TypeScript. Strong understanding of containerization (Docker) and orchestration (Kubernetes). Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative team environment. Strong communication and interpersonal skills. Why Join Us More ❯

you will need the following: Strong proficiency and experience in AWS based Machine Learning technologies (AWS SageMaker, Lambda, S3, EC2). Experience with CI/CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. More ❯