Posting Type
Hybrid/Remote
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
At Relativity, engineers do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools.
The Enrichment team is responsible for powering one of the fastest ways to ingest and process massive volumes of complex and unstructured data into the Relativity platform. The team focuses on modernizing the user experience while solving challenges related to large-scale data processing, extraction, and performance within a secure SaaS environment.
Job Description and Requirements
WHAT YOU’LL DO- Design and build performant, scalable, and secure software solutions with a strong focus on quality
- Collaborate with a software development team to deliver high-quality software operating on massive data sets
- Develop systems leveraging distributed architectures, multiple databases, and cloud-based technologies
- Implement comprehensive unit and integration testing, static analysis, and robust testing strategies
- Contribute to improving the software development lifecycle, including recommending and implementing process enhancements
- Participate in pair programming to enhance code quality and share knowledge across the team
- Mentor less experienced engineers and provide technical guidance to support team growth
WHAT WE’RE LOOKING FORRequired- Bachelor’s degree (or equivalent) in Computer Science or related field
- Experience with object-oriented programming using C#, Java, or similar languages
- Experience with HTML5, JavaScript, CSS, and modern web technologies
- Experience building REST APIs
- Experience working on an agile software team
- Knowledge of software engineering fundamentals across all layers of the application stack
Preferred- Understanding of DevOps principles, with experience using Azure DevOps as a plus
- Experience designing and developing highly scalable solutions in Azure or other cloud platforms
- Experience with Azure Functions, Azure Service Bus, and serverless technologies
- Familiarity with Domain-Driven Design and Event-Driven Architecture
- Strong awareness of emerging technology trends and their practical applications
WHY WE COULD BE A GREAT FITImpactful 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:
$103,000 and $155,000
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
