426 to 450 of 1,088 Containerisation Jobs in the UK

frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) Bonus: Experience with financial concepts, real estate data, or startup environments What's in it for me: Salary £100,000-£120,000 dependent on experience Hybrid working arrangement More ❯

frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker) Bonus: Experience with financial concepts, real estate data, or startup environments What's in it for me: Salary £100,000-£120,000 dependent on experience Hybrid working arrangement More ❯

Claude, etc.) - Familiarity with NLP tasks such as summarization, classification, entity recognition, and prompt engineering - Experience working in secure or classified environments - Strong understanding of MLOps, model deployment, and containerization (Docker, Kubernetes) - Excellent problem-solving and communication skills Desirable Skills - Experience with government or defence projects - Knowledge of secure cloud environments (eg, Azure Government, AWS GovCloud More ❯

AKS) RESTful APIs & Microservices SQL & NoSQL databases CI/CD & modern DevOps practices Experience Solid experience in .NET software engineering (C#) Strong cloud experience, ideally with Azure Familiarity with containerisation & orchestration (Kubernetes preferred) Good understanding of software architecture and clean code principles Comfortable working independently and as part of a collaborative team Experience with performance tuning and high-availability systems More ❯

cloud environments preferred Good communication skills and ability to work independently in a remote setup Nice to Have Front-end experience (React, Angular, or Blazor) Exposure to microservices and containerization (Docker) Familiarity with CI/CD pipelines and automated testing What’s on Offer Fully remote role with flexible working hours Competitive compensation and benefits Great company culture with strong More ❯

and hybrid environments. Excellent problem-solving and communication skills. VMware certifications (e.g., VCP, VCAP) are highly desirable. Nice to Have Skills: Experience with VMware NSX and Horizon. Knowledge of containerization technologies (e.g., Docker, Kubernetes). Scripting skills for automation and orchestration. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we More ❯

or high-traffic environment) Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform or CloudFormation. Comfortable scripting in Python at a decent level. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn More ❯

leading architecture teams. Deep understanding of secure cloud design, zero-trust models, and compliance frameworks such as NIST, DISA STIGs, and NCSC best practice. Expertise in Infrastructure-as-Code, containerisation (Kubernetes, OpenShift), and automation for secure cloud deployments. Strong knowledge of networking, encryption, IAM, and DevSecOps principles. Excellent stakeholder management, communication, and bid support experience. Desirable Cloud certifications (AWS/ More ❯

performance, and ensure reliability across cloud platforms-while guiding teams with strong technical leadership.Key Responsibilities* Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster.* Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS).* CI/CD for Data: Implement and maintain automated pipelines for data applications.* Monitoring & Observability: Deploy More ❯

solving and incident management skills. Ability to thrive in a scaling SaaS environment, balancing stability and innovation. Desirable Previous experience in SaaS or high-growth technology companies. Knowledge of containerisation (e.g., Kubernetes, Docker). Scripting/programming skills (e.g., PowerShell, Python, Bash). Seniority Level Mid-Senior level Industry Software Development IT Services and IT Consulting Business Consulting and Services More ❯

and ensure reliability across cloud platforms-while guiding teams with strong technical leadership. Key Responsibilities * Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster. * Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS). * CI/CD for Data: Implement and maintain automated pipelines for data applications. * Monitoring & Observability: Deploy More ❯

for Proven experience in a DevOps or Platform Engineering role Strong background with AWS, Terraform, Kubernetes, and Helm Experience automating deployment pipelines (GitHub Actions, Jenkins, ArgoCD) Strong grasp of containerisation, monitoring, and infrastructure scaling Kubernetes certification (CKA or CKAD) - essential Excellent communicator who enjoys cross-team collaboration and knowledge-sharing Why join Creative, people-centric culture - you’ll work alongside More ❯

analysis , and capacity planning . Proven ability to develop synthetic and real user monitoring dashboards . Familiarity with AI-based monitoring and anomaly detection tools . Desirable Cloud and containerization experience ( Kubernetes, Docker ). Exposure to Agile/DevSecOps environments. Experience supporting airline, e-commerce, or other high-availability platforms . If this is relevant to your experience, please apply More ❯

analysis , and capacity planning . Proven ability to develop synthetic and real user monitoring dashboards . Familiarity with AI-based monitoring and anomaly detection tools . Desirable Cloud and containerization experience ( Kubernetes, Docker ). Exposure to Agile/DevSecOps environments. Experience supporting airline, e-commerce, or other high-availability platforms . If this is relevant to your experience, please apply More ❯

Front End frameworks (eg, React, Angular, Vue.js) and Back End languages (eg, Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience implementing AI in a business context-such as integrating AI APIs/services, developing AI-powered features, or utilizing AI-assisted development tools More ❯

front-end frameworks (e.g., React, Angular, Vue.js) and back-end languages (e.g., Node.js, Python, Java). Hands-on experience with databases (SQL and NoSQL), cloud platforms (Azure/AWS), containerisation (Docker), and CI/CD pipelines. Experience implementing AI in a business context—such as integrating AI APIs/services, developing AI-powered features, or utilizing AI-assisted development tools More ❯

code quality, automated testing (Vitest, Playwright) and observability to deliver resilient, maintainable, and production-ready business logic. Drive DevOps excellence by collaborating on CI/CD pipelines (Jenkins, Concourse), containerisation (Docker) and Kubernetes deployments. Mentor and empower fellow engineers through thoughtful code reviews, technical guidance and fostering a culture of collaborative problem-solving. Influence technical strategy by working within a More ❯

Requirements for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working More ❯

implementation. Required Skills & Experience: o 20+ years in software architecture and enterprise-level solution design. o Proven expertise in Java, JEE, and modern frameworks. o Strong experience in microservices, containerisation (Docker, Kubernetes), and messaging systems (Kafka, Azure Event Bus). o Hands-on experience with Azure cloud services and DevSecOps tools. o Nice to have experience in technologies and platforms More ❯

of professional experience in software engineering, primarily backend-focused. Strong command of TypeScript and experience building production-grade APIs. Solid knowledge of PostgreSQL or similar relational databases. Familiarity with containerisation and orchestration tools (Docker, Kubernetes). Practical experience deploying and maintaining systems in AWS or other cloud environments. Proven ability to write high-quality, testable, and well-documented code. Excellent More ❯

Required Technical Skills 10+ years of hands-on experience with AWS services (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch, CloudTrail, IAM, etc.). Strong experience with containerization (Docker or similar). Proficiency in scripting/automation using Python or Bash. Expertise in CI/CD pipeline development (Jenkins, GitHub Actions, or similar). Solid understanding of Infrastructure More ❯

or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving More ❯

automate, and use AI effectively Desirables: • Exposure to Puppet, Terraform, or Ansible • Experience with automation frameworks and infrastructure as code • Familiarity with cPanel, Plesk, or Windows Server • Knowledge of containerisation, monitoring and logging More ❯

its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. Experience with Docker and Kubernetes for containerization and orchestration. Proficiency with modern version control systems (Git). Familiarity with common data sources and types within the energy sector (e.g., SCADA data, seismic data, well logs, sensor data More ❯

automation and maintainable code. Cloud Expertise: Hands-on experience with a major cloud provider (ideally GCP ). Infrastructure as Code: Strong working knowledge of Terraform (Terramate a plus). Containerisation: Proficiency with Kubernetes (preferably GKE ). CI/CD: Familiarity with GitLab CI and continuous integration concepts. Mindset: Pragmatic, customer-focused, and driven by efficiency and automation. Education: Minimum More ❯