- Location
- Illinois, United States of America
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Source
- Workday
Description
Posting Type
Hybrid/Onsite
Job Overview
WHO WE ARERelativity 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 Automated Workflows team designs and delivers AI-powered Authentication and Authorization services that secure access across the Relativity platform.
The team builds resilient, cloud-native platform capabilities that safeguard customer data, enable secure customer innovation, and support mission-critical legal workflows at enterprise scale.
Job Description and Requirements
- Design, build, and operate next-generation AI-powered Authentication and Authorization services.
- Develop resilient, cloud-native platform capabilities that secure access across the Relativity platform.
- Safeguard customer data through secure and scalable platform design.
- Enable secure customer innovation through platform capabilities and services.
- Support mission-critical legal workflows at enterprise scale.
- Solve complex technical problems and design systems for scalability and reliability.
- Lead through influence while contributing to high-impact engineering initiatives.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in software engineering, with a focus on cloud-native or distributed systems.
- Strong understanding of modern software design principles and cloud-native architectures.
- Proven ability to deliver complex solutions and own them end-to-end in production environments.
- Experience working with distributed multi-tenant systems.
- Experience raising engineering quality through design discussions, code reviews, and mentorship.
- Solid understanding of CI/CD pipelines, automated testing, observability, and incident response.
- Strong cross-functional communication and collaboration skills.
- Experience building full-stack systems at scale using React and .NET.
- Familiarity with performance tuning, scalability trade-offs, and secure-by-default design.
- Experience working in high-scale or regulated environments.
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
- Work on distributed, cloud-native systems that process large volumes of data.
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
- Gain experience owning systems end-to-end across cloud and distributed environments.
- Work in a team focused on knowledge sharing and continuous improvement.
- Diverse perspectives create stronger teams and better outcomes.
- 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:
$126,000 and $190,000The 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:
Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership