DevOps Engineer

• Improve reliability, operability, and deployment quality of Braiins Pool and related services.
• Maintain and optimize GitLab CI/CD pipelines, release workflows, deployment automation, and feedback loops from commit to production.
• Work with Kubernetes, Docker, service configuration, secrets, runtime environments, and deployment templates in cooperation with the platform team.
• Improve observability, monitoring, alerting, incident response workflows, and post-incident learning.
• Build or improve internal tools that help developers, QA, support, and operations work faster and with fewer manual steps.
• Help product teams improve local development, testing, deployment safety, release confidence, and production readiness.
• Collaborate with support and engineering teams to diagnose production issues and turn recurring problems into automation, documentation, or better tooling.
• Contribute to operational runbooks, deployment standards, CI/CD conventions, and shared engineering practices.
• Use AI tools responsibly to accelerate research, implementation, testing, documentation, automation, and delivery while keeping strong human ownership, review, security, and production quality.

Site Reliability Engineer

• Build and maintain infrastructure for development and CI/CD
• Automate workflows with Python, Go, Bash and YAML
• Develop and operate internal tools and platforms
• Provision and manage data for engineering and analytics
• Technologies used include: Python, Bash, SQL/PostgreSQL, GitHub Actions, Docker/Podman/Compose/Quadlets, nginx/nginx ingress, Linux (Debian, RHEL, Ubuntu)

DevOps Engineer – 100% remote

• Define and implement a modern DevOps and platform engineering strategy aligned with data and AI platform goals
• Develop roadmaps that incorporate AI-assisted development, testing, and operations
• Drive the evolution from traditional DevOps to intelligent, self-service platform capabilities
• Continuously evaluate emerging technologies (e.g., GenAI, LLMOps, AIOps) and incorporate them where relevant
• Design and optimize CI/CD pipelines using AI-assisted tools (e.g., code generation, test generation, pipeline optimization)
• Integrate AI copilots and automation agents into development and deployment workflows
• Implement intelligent quality gates (e.g., automated code reviews, anomaly detection in pipelines)
• Enable self-healing pipelines and automated failure diagnostics where possible
• Build scalable automation frameworks leveraging AI, scripting, and infrastructure as code
• Analyze and optimize integrations across the Anglo American Data Platform

DevOps Engineer jobs in Czechia

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Site Reliability Engineer

DevOps Engineer – 100% remote

Lead DevOps Engineer – Data & AI Platform