WHY HARVEY

At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

ROLE OVERVIEW:

As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.

This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.

WHAT YOU’LL DO:

• Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions

• Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements

• Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention

• Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle

• Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality.

WHAT YOU HAVE:

• 5+ years of experience in Site Reliability Engineering or similar roles supporting production environments

• Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.).

• Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (Pager Duty, IncidentIO, etc.)

• Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)

• Strong programming skills (Python, Bash, Go, or similar languages)

• Proven track record of diagnosing complex system problems and implementing durable solutions

• Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles

• Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence

COMPENSATION RANGE:

$200,000 - $260,000 USD

PLEASE FIND OUR CA APPLICANT PRIVACY NOTICE HERE https://www.harvey.ai/legal/california-applicant-privacy-notice.

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai