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Senior/Expert DevOps Engineer (AI Enabling) (f/m/d)

Summary

Build and maintain a CI/CD platform with AI-driven optimizations, self-hosted LLM infrastructure, and DevSecOps practices to accelerate software delivery and improve reliability.

Hexagon’s Geosystems business area provides digital solutions that capture, measure and visualise the physical world, enabling data-driven transformation.

We are looking for a Senior/Expert DevOps Engineer with deep expertise in CI/CD, automation and platform engineering, with a strong interest in applying AI-assisted automation to improve development productivity, reliability and speed of delivery.

Łódź 80-100%

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 in 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, Packer) and containerized environments (Docker)
  • An entrepreneurial, improvement and result driven mindset with a strong commitment towards ownership
  • Motivation and drive to shape, complemented by a competent, fact-based representation of concepts and ideas
  • Basic understanding of cloud technologies (AWS, Azure, GCP)
  • Fluent in English and Polish

See also

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