Software Engineer, Systems Engineer, Cloud Computing

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, Relativity One, 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’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.

At Relativity, engineers don’t just write code. They shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation.

The Shared Compute Infrastructure team builds and operates the cloud compute foundations that power Relativity’s platform. We provide scalable, secure, and reliable cloud-native infrastructure that enables teams across the organization to run workloads efficiently while meeting high standards for performance and security.

• Lead the design, development, and implementation of scalable cloud infrastructure solutions that support Relativity’s strategic goals
• Design and implement complex cloud infrastructure and shared services across cloud platforms
• Define and enforce cloud-native architecture standards and best practices
• Collaborate with cross-functional teams to align cloud-native solutions with business objectives
• Mentor and guide engineers across multiple teams, fostering professional growth and raising engineering quality
• Evaluate emerging technologies and recommend adoption strategies to drive platform innovation
• Ensure the security, scalability, and reliability of cloud systems through strong engineering and operational practices
• Contribute to strategic planning and roadmap development for critical business initiatives

• Experience designing infrastructure platforms, tooling, and services, including integration with Kubernetes
• Proficiency with cloud platforms such as Azure, AWS, or GCP
• Strong understanding of distributed systems, networking, and security
• Demonstrated ability to lead technically and mentor engineers across teams
• Excellent problem-solving and analytical skills
• Strong written and verbal communication skills

• Advanced degree in Computer Science or a related field
• Experience with infrastructure as code and automation tools
• Background working with global and cross-cultural teams

• Help organizations organize data, discover the truth, and act on it in high-stakes legal and regulatory matters.

• Engineers gain exposure to large-scale distributed systems and cloud platform design, with opportunities to influence architecture and long-term strategy.

• Strong emphasis on technical excellence, shared ownership, reliability, and continuous improvement.

• Diverse backgrounds and perspectives make us stronger.

• Volunteer opportunities and company-sponsored charitable programs.

• Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.

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:

• $174,000 and $262,000

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.

Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership