We are looking for a Senior Software Engineer to join our Engineering Platform team, where you'll help build the cloud-native backbone that powers Relativity’s development ecosystem. You will work on high-impact initiatives that shape how our engineers build, test, deploy, and scale software—driving technical excellence across the company.

As part of a growing and financially stable organization, you’ll have the opportunity to contribute in a dynamic, fast-moving environment that values autonomy, ownership, and practical action over excessive process. Our platform engineers are trusted with solving complex problems at scale, and empowered to make real decisions that improve the day-to-day experience of hundreds of developers.

Job Description And Requirements

Your Role in Action

Design, build, and operate platform services and developer tooling using .NET and Microsoft Azure that are scalable, secure, and reliable.
Lead the development of Infrastructure as Code (IaC) components that automate and standardize cloud infrastructure.
Drive adoption of DevOps practices and CI/CD automation across engineering teams.
Collaborate closely with internal stakeholders to build reusable capabilities that improve development speed and consistency.
Integrate observability, performance monitoring, and self-service tooling into the platform ecosystem.
Mentor and support engineers through code reviews, technical discussions, and knowledge-sharing.
Proactively identify areas of improvement, experiment with solutions, and deliver results—embracing our bias toward action.
Contribute to initiatives that embed AI/ML into platform services and developer workflows.

Your Skills

5+ years of software development experience with a strong command of C# and the .NET ecosystem.
Deep hands-on experience with Azure services and cloud-native application patterns.
Proficiency with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates.
Experience building or supporting CI/CD systems and modern DevOps pipelines.
Familiarity with containers and orchestration tools (e.g., Docker, Kubernetes, AKS).
Demonstrated success working in Agile product teams and collaborating cross-functionally.
Strong problem-solving, communication, and mentorship skills.
Bonus: Exposure to AI/ML tools or interest in applying AI to platform and engineering problems.

Why Join Us?

Be part of a growing, stable company where your work has long-term impact.
Thrive in a fast-paced, evolving environment with clear opportunities for technical and career growth.
Work in an engineering culture that values initiative, speed, and ownership.
Shape the tools, practices, and environments that empower hundreds of engineers daily.
Contribute to a mission-driven organization committed to innovation and excellence.

Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.

Benefit Highlights

Comprehensive health, dental, and vision plans

Parental leave for primary and secondary caregivers

Flexible work arrangements

Two, week-long company breaks per year

Unlimited time off

Long-term incentive program

Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

181 000 and 271 000PLN

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.