Staff Software Engineer, Core Infrastructure

Why HarveyAt Harvey, we're transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we're just getting started.Role OverviewAs 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 New York City, New York. We use an in-person work model and offer relocation assistance to new employees.What You'll DoDesign and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regionsOwn and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container managementLead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issuesArchitect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanismsPartner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraintDrive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deploymentsMentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadershipRepresentative ProjectsDesign and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integrationBuild distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experienceArchitect multi-region deployment strategies that meet strict data residency requirements for global enterprise customersDevelop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost trackingLead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stabilityWhat You Have10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environmentLong track record building and scaling complex, large-scale distributed systemsDeep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormationSolid understanding of Kubernetes, container orchestration, networking, and cloud security at scaleExperience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io)Strong programming skills in Python, Go, or similar languagesExcellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellenceNice to HaveExperience building infrastructure for AI/ML workloads or high-throughput inference systemsBackground with distributed rate limiting, load balancing, or quota management systemsExperience operating multi-tenant platforms with strict security and compliance requirementsTrack record of leading complex cross-functional projects and delivering measurable impactCompensation Range$201,000 - $264,000 USD Harvey