Platform Devops Engineer

This appeals to you

• CI/CD platform engineering: Design, build and maintain a platform with a strong focus on abstraction and self-service capabilities for development teams.
• Local/on-prem LLM hosting & AI gateway management: Operate self-hosted LLM infrastructure, including cost tracking, rate limiting and usage observability to enable scalable AI access across development teams.
• Intelligent CI/CD pipeline optimisation: Apply AI-driven techniques including impact analysis and dynamic resource scheduling to reduce feedback cycle times, infrastructure cost and deliver pipelines at scale.
• AIOps & autonomous incident response: Leverage AI on operational data to move from reactive firefighting to predictive, automated operations.
• Technology strategy: Strategically select and adopt state-of-the-art technologies to continuously evolve the platform engineering stack.
• DevSecOps integration: Embed security and compliance processes directly into CI/CD workflows to ensure delivery pipelines meet organisational and regulatory requirements.
• DevOps enablement & mentoring: Share best practices and coach engineers across the organisation to raise overall DevOps maturity and capability.

This is you

• Significant software development experience, favourably in Python, Kotlin, C# or C++.
• Extensive knowledge of CI/CD systems, preferably TeamCity or GitHub Actions.
• Practical expertise operating and integrating AI infrastructure, with a proven ability to identify high-value use cases and translate them into measurable efficiency gains for development teams.
• Proficiency in Infrastructure as Code: Terraform, Ansible and Packer; and containerized environments: Docker.
• An entrepreneurial, improvement- and result-driven mindset with a strong commitment to ownership.
• Motivation and drive to shape, complemented by competent, fact-based representation of concepts and ideas.
• Basic understanding of cloud technologies: AWS, Azure and GCP.
• Fluent English and Polish.

Benefits

• Flexible working models to combine work and private interests.