Advanced Software Engineer (.NET)

Posting Type

Hybrid

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

The Unstructured Storage Services team is part of Data Intelligence Foundation and is responsible for delivering core data capabilities that power RelativityOne. The team provides self-serve, reliable unstructured storage services for product engineering teams and external customers, enabling teams to move faster without rebuilding storage, reliability, and operational tooling.

The team designs and operates cloud-native storage capabilities built on Azure technologies, partnering closely with product engineering, SRE, operations, and security teams to improve developer experience, reduce operational burden, and deliver scalable platform services.

As an Advanced Software Engineer (.NET) on the Unstructured Storage Services team, you will design and build cloud-native storage capabilities that power RelativityOne. You will develop backend API-first services that are scalable, resilient, secure, and cost-aware while leveraging Azure storage technologies such as Blob Storage and Cosmos DB.

You will help evolve shared storage platform capabilities that support multi-tenancy, lifecycle management, performance optimization, and operational excellence across Relativity's cloud platform.

• Design, build, and operate backend services for unstructured storage in RelativityOne using C#/.NET with a focus on reliability, scalability, security, and performance.
• Implement and evolve Azure-based storage solutions, including Blob Storage and Cosmos DB, with lifecycle policies, multi-tenant isolation, access controls, and cost optimization.
• Design and implement service-to-service communication using gRPC, including Protocol Buffers, contract versioning, streaming, deadlines, retries, and REST APIs.
• Lead and participate in technical design reviews, document architectural decisions, and promote cloud-native storage patterns across engineering teams.
• Troubleshoot and resolve production issues, identify reliability and performance risks, and drive operational improvements through instrumentation, automation, and enhanced playbooks.
• Contribute to the storage platform roadmap by evaluating technologies and recommending improvements aligned with business objectives and long-term platform evolution.
• Collaborate with product engineering, SRE, and security teams to deliver solutions end-to-end and improve developer experience.
• Participate in on-call rotations and incident response activities to maintain service health and support customers.

Required

Impactful Mission

Engineering at Scale

Cutting-Edge Technology

Growth and Ownership

Collaborative Culture

Inclusive Environment

Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

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.