Posting Type
Hybrid
Job Overview
WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.
WHAT WE DO
You will join Relativity’s Import Export organization, a high-impact engineering team at the heart of our Ingestion Department. We build and scale the infrastructure that powers secure, reliable, and high-throughput data movement across our SaaS platform.
ABOUT THE ROLE
As an Advanced (Mid) Software Engineer, your primary mission will be to design, write, test, deploy, and support Relativity software products. You will work within an established team and partner with business stakeholders to develop the product features and services that drive and evolve the RelativityOne SaaS platform.
Job Description and Requirements
WHAT YOU’LL DO
- Create architecture and non-functional designs for Import/Export services that meet SLO and SLA targets
- Decompose complex business and technical challenges into resilient, cloud-native solutions
- Deliver project milestones with measurable outcomes
- Drive operational excellence by leveraging observability data to prioritize work, automate alerting, and expose reliable metrics
- Design and implement CI/CD automation that supports predictable, compliant deployments
- Design, develop, test, deploy, and support software products and services
WHAT WE’RE LOOKING FOR
Required
- 3+ years of experience shipping C#/.NET or similar services with measurable reliability or performance improvements
- Experience designing distributed and event-driven SaaS systems and translating business requirements into resilient technical solutions
- Production ownership experience, including participation in on-call rotations and Root Cause Analysis (RCA) activities
- Experience delivering cloud-native applications and services (Azure experience preferred, but not required)
- Hands-on experience with CI/CD automation, automated testing, and deployment governance
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- English fluency for technical communication
Preferred
- Experience working with Azure cloud services
- Experience supporting large-scale data movement, ingestion, or platform infrastructure services
- Strong background in observability, monitoring, and operational excellence practices
WHY WE COULD BE A GREAT FIT
Impactful Mission
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
- Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
- Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
- Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
- Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
- Competitive salary, benefits, DTO, parental leave, and equity program.
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:
160 000 and 240 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.
Required Skills:
Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting