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Senior AI-DevOps Engineer

RelativityPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano28 lipca 2026
Wykryte przez nas
Wykryte przez nas29 lipca 2026
Zarobki
Zarobki17 333 - 26 000 PLN

Relativity is a leading legal data intelligence company that builds AI-powered, cloud-native platforms to help users manage complex information in high-stakes legal matters. We are looking for a Senior AI-DevOps Engineer to join our Cloud Platform team and help build a self-service Resource Provider platform that serves as the foundation for our engineering teams.

Key responsibilities

  • Design and evolve reusable cloud provider patterns using Infrastructure-as-Code frameworks like Pulumi.
  • Contribute to the platform’s REST API contract layer using Python and FastAPI to ensure reproducible and observable onboarding.
  • Build and maintain CI/CD automation using GitHub Actions, including reusable workflows and shared release patterns.
  • Partner with cross-functional teams to document integration patterns and unblock delivery.
  • Utilize AI tooling in daily development workflows and contribute to internal AI-enabled engineering practices.
  • Participate in on-call rotations to manage production incidents and drive systemic improvements.

Requirements

  • 5+ years of experience in software, DevOps, or platform engineering, with at least 2 years focused on cloud infrastructure.
  • Hands-on experience with Infrastructure-as-Code tools such as Pulumi, Terraform, or CDK.
  • Strong DevOps fundamentals, including CI/CD pipeline design, containerization, and observability.
  • Proficiency in building REST APIs with Python (FastAPI or Flask).
  • Solid understanding of Azure fundamentals, including identity, secret management, and Landing Zone patterns.
  • Security-focused mindset with knowledge of IAM, auditability, and dependency hygiene.

What we offer

  • Opportunity to work on distributed, cloud-native systems that process massive volumes of data.
  • Engagement with cutting-edge AI technologies and scalable architectures.
  • A culture focused on knowledge sharing, continuous improvement, and professional growth.
  • Ownership of systems end-to-end within a collaborative, distributed team environment.

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