5 of 5 Remote/Hybrid Containerisation Jobs in Bristol

relational databases (e.g. PostgreSQL) Experience working with cloud platforms (AWS, Azure, or GCP) Solid understanding of DevOps practices, CI/CD pipelines, and containerisation (Docker, Kubernetes) Experience with authentication/authorisation frameworks is advantageous Leadership & Communication Proven experience leading or mentoring software engineers Strong communication and stakeholder-management skills Ability ...

technologies. About you Strong experience with leading cloud providers (AWS or Azure). Deep expertise in cloud networking, security and storage solutions. Knowledge of containerisation, orchestration (Kubernetes), and serverless architectures. Experience with Infrastructure-as-Code (IAC) using tools like Terraform or Cloud Formation, CI/CD pipelines, Jira and Jenkins. ...

REST APIs and system integrations. Familiarity with cloud platforms (AWS, Azure or GCP). Awareness of security tools, SOC operations or SIEM platforms. Containerisation knowledge (Docker). Cyber security certifications (e.g. CompTIA Security+, equivalent). Benefits Competitive salary and benefits package. Structured training and career development. Hands-on exposure ...

infrastructure expertise across security, networking, databases and storage. Experience with Windows (Unix OS desirable) Relevant exposure to leading cloud providers, in particular AWS. Virtualisation, containerisation, orchestration and serverless architectures Evidence of successfully simplifying legacy infrastructure and migrating to hybrid and cloud-native platforms Awareness and use of architectural frameworks Reasonable ...

event driven systems using Kafka/MSK, SQS, etc Cloud native deployments in hyper-scalers such as AWS/GCP/Azure using containerisation and orchestration with Docker/Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security … first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: GitHub Actions, Jenkins) AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development ...