ABOUT THE ROLE
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.
Job Description and Requirements
WHAT YOU’LL DO
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.
WHAT WE’RE LOOKING FOR
Required
3+ years of software engineering experience in backend services, distributed systems, or data/platform engineering.
Strong C#/.NET (Core) development skills.
Hands-on experience designing and implementing cloud-native storage solutions in Azure, AWS, or GCP, with Azure preferred.
Understanding of distributed storage fundamentals, including partitioning, consistency models, data access patterns, and performance optimization.
Experience with CI/CD practices and tools such as GitHub Actions and deploying production services.
Fluent English with strong written and verbal communication skills.
Experience working within Agile methodologies such as Scrum or Kanban.
Preferred
Experience with Azure Blob Storage and Cosmos DB.
Experience designing and implementing gRPC services and distributed service communication.
Experience with multi-tenant platforms, storage lifecycle management, and access control models.
Familiarity with service observability, operational excellence, and incident response practices.
Experience optimizing large-scale storage systems for performance, reliability, and cost efficiency.
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
