Harvey

Senior Software Engineer, Core Infrastructure

San Francisco, California, United States · Hybrid · FullTime

USD 200,000–250,000/yearPosted over 6 months ago: check it’s still open

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerHarvey
LocationSan Francisco, California, United States
Work styleHybrid
Employment typeFullTime
Employer posted8 months ago
Salary (as stated by the employer)USD 200,000 – 250,000 per year

Why Harvey

At 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.

Show full description

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 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.

What You’ll Do

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 junior / intern engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership

Representative Projects

Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration

Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience

Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers

Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking

Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability

What You Have

4+ 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

Compensation Range

$200,000 - $250,000 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-AN2

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

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