Staff Software Engineer, Core Infrastructure

As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.

Responsibilities

Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions; Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management; Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues; Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms; Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint; Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments; Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership

Requirements

10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment; Long track record building and scaling complex, large-scale distributed systems; Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well); Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation; Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale; Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io); Strong programming skills in Python, Go, or similar languages; Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence

Nice to have

Experience building infrastructure for AI/ML workloads or high-throughput inference systems; Background with distributed rate limiting, load balancing, or quota management systems; Experience operating multi-tenant platforms with strict security and compliance requirements; Track record of leading complex cross-functional projects and delivering measurable impact

Benefits

Relocation assistance