Relativity

Relativity

Software Engineer

Illinois

Sponsorship not specifiedDetected 30 days ago
ReactAngularDistributed SystemsBackend DevelopmentFull-Stack DevelopmentCode ReviewGitCloud PlatformsCI/CDData EngineeringA/B TestingIncident ResponseProject ManagementResearchCommunicationCollaborationProblem Solving

About the role

  • Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
  • WHAT WE DO At Relativity, engineers don't just write code.

Responsibilities

  • Build accessible user interfaces and assist with extending backend services and data pipelines to deliver customer impact
  • Collaborate with a diverse group of teammates and product partners to solve problems and achieve shared goals
  • Participate in design and code reviews, applying feedback to improve quality and maintainability
  • Support service ownership, including reliability efforts, on-call rotations, and incident response with guidance from the team

Requirements

  • Familiarity with software engineering, cloud platforms, and containerization fundamentals
  • Ability to write maintainable, well-tested code that meets requirements and adheres to team standards
  • Experience with CI/CD pipelines and modern development workflows
  • Strong collaboration and communication skills, with the ability to work effectively in agile teams
  • At least 1 year of professional software engineering experience or equivalent practical experience

Skills

  • Posting Type
  • Job Overview
  • At Relativity, engineers don't just write code.
  • Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct.
  • Job Description and Requirements

Compensation

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.
  • 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.
  • $79,000 and $119,000

Company info

  • 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.
  • They shape how industries uncover critical insights, ensure compliance, advance access to justice, and continuously evolve our platform using cloud-native architectures, AI capabilities, and modern developer tooling.
  • We're reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation.
  • This team is responsible for building and evolving distributed, cloud-native services that process data at massive scale.
  • Engineers collaborate closely with product and design to deliver high-impact features and continuously improve system reliability, performance, and usability.
  • You'll work in a highly collaborative environment where learning, experimentation, and shared ownership drive success.
  • If you're passionate about solving hard problems, designing for scale, and building tools that matter, Relativity offers the opportunity to make a measurable difference in the marketplace.
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This listing is sourced directly from Relativity's careers page and normalized into a canonical job model.