Software Engineer, Systems Engineer, Cloud Computing

Posting Type

Hybrid

Builds and operates the cloud compute foundations that power Relativity’s platform, providing scalable, secure, and reliable cloud‑native infrastructure for teams across the organization.

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.

• Required 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.

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.

The expected salary range for this role is $174,000 - $262,000. The final offered salary will be based on factors such as experience, skill set, qualifications, and internal pay equity.