---
title: 'Staff Software Engineer, Core Infrastructure at Harvey'
canonical: 'https://feeny.ai/job/staff-software-engineer-core-infrastructure-harvey-new-york-c56tnhd0463d'
type: 'job'
last_seen: '2026-09-07'
---

# Staff Software Engineer, Core Infrastructure at Harvey

- **Company:** [Harvey](https://feeny.ai/companies/harvey)
- **Location:** New York, NY
- **Compensation:** $201k–$264k
- **Employment:** full-time
- **Posted:** 2026-04-27
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/harvey/6cb0809d-923f-4119-a0d1-babb0c9289c4/application

**Skills:** Infrastructure as Code, Terraform, Pulumi, CloudFormation, Kubernetes, Container Orchestration, Azure, GCP, Python, Go, Datadog, Sentry, PagerDuty, Incident.io, Networking, Cloud Security, AI/ML infrastructure, Distributed rate limiting, Load balancing, Multi-tenant platforms

> Design and build scalable, fault-tolerant multi-cloud infrastructure systems powering Harvey's AI platform. The role involves owning Kubernetes orchestration, optimizing distributed systems for reliability, and driving infrastructure-as-code practices to ensure operational excellence and security.

## Job description

## 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.

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

## ROLE OVERVIEW

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 New York City, New York. 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 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

- 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 http://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

$201,000 - $264,000 USD

DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.

## #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

## About Harvey

## Company Overview
- **One-liner**: Harvey builds domain-specific AI software for legal and professional services, enabling law firms and in-house teams to automate research, contract analysis, due diligence, and complex workflows.
- **Entity Type**: Private (backed by leading venture capital firms)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Winston Weinberg (CEO), Gabriel Pereyra (President)

## Core Business
- **Primary industry**: AI software for legal and professional services (LegalTech)
- **Target customers**: B2B – large law firms (AmLaw 100), in-house legal teams at Fortune 500 enterprises, mid-sized firms, and professional service networks across 60+ countries.
- **Mission or purpose statement**: To enable legal and professional services teams to focus on high-value work by providing a secure, expert AI platform that handles research, drafting, and complex workflows.

## Products & Services
- **Harvey Assistant**: Ask questions, analyze documents, and draft faster with domain-specific AI (SaaS).
- **Harvey Vault**: Securely store, organize, and bulk-analyze legal documents (SaaS).
- **Harvey Knowledge**: Research complex legal, regulatory, and tax questions across domains (SaaS).
- **Harvey Agents**: Purpose-built agents that execute complex legal work end-to-end (SaaS).
- **Harvey Contract Intelligence**: Surface insights, strengthen negotiations, and accelerate reviews (SaaS).
- **Harvey Command Center**: Analytics, benchmarking, and agentic insights for leading AI transformation (SaaS).
- **Harvey Mobile**: Mobile access to stay productive from anywhere (SaaS).
- **Harvey Shared Spaces**: Collaborate with legal teams across organizations in secure shared workspaces (SaaS).
- **Harvey Ecosystem**: Integration with existing tools to ground answers in trusted sources (API/platform).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (company is private).
- **Key Metric**: Annual Recurring Revenue (ARR) – reported in press but exact figure not disclosed; strong growth implied by 1,500+ customers and rapid hiring.
- **Notable Investors/Partners**: Sequoia, Kleiner Perkins, GV (Google Ventures), OpenAI Startup Fund, Coatue, Andreessen Horowitz, EQT.
- **Growth Signals**: 
  - Named Time100 Most Influential Companies (2025).
  - LinkedIn Top 50 Startup of 2025.
  - CNBC Disruptor 50 List.
  - 1,500+ customers across 60+ countries, including AmLaw 100 firms.
  - Headcount: ~300 employees (as of mid-2025), with aggressive hiring (254 active job postings).
  - Office expansion: San Francisco, New York City, London.

## Competitive Advantages
- **Domain specialization**: AI models trained specifically for legal and professional services, not generic LLMs.
- **Enterprise security**: SOC 2 Type II, ISO 27001/27701/42001, GDPR, CCPA compliance – meeting law firm security requirements.
- **Deep investor backing**: World-class VC network provides strategic guidance and access.
- **Strong product‑market fit**: Rapid adoption by top-tier law firms and in-house teams, with high switching costs due to embedded workflows.
- **First‑mover in agentic legal AI**: Purpose‑built agents execute end‑to‑end tasks, differentiating from simple document Q&A tools.

## Strategic Focus
- **Customization, collaboration, and simplicity**: Helping teams embed expertise into Harvey, collaborate across firms, and reduce complexity via agentic workflows.
- **Expansion beyond legal**: Long‑term ambition to transform professional services broadly (consulting, accounting, etc.).
- **Product innovation**: Continued investment in agentic AI, mobile access, and ecosystem integrations.
- **Global growth**: Scaling sales and engineering teams in existing hubs and expanding into new markets.

## Why Work Here
- **Culture**: Fast‑paced, collaborative, ambitious. Values include **Decisiveness** (“take the square root of the weather” – avoid overanalysis), **Simplicity**, and **Job’s Not Finished** (continuous improvement).
- **Work environment**: Hybrid – 3+ days per week in office for roles based in San Francisco, New York City, or London. Some fully remote positions available (clearly marked).
- **Benefits**: Comprehensive health/dental/vision insurance, 401(k) match, paid parental leave (immediately eligible), annual professional development stipend, in‑office daily lunch, and more.
- **Growth opportunities**: Rapidly scaling (~300 employees, 254 open roles) provides internal mobility and ownership of impactful projects.
- **Engineering culture**: Strong blend of AI research (DeepMind background) and legal domain expertise. CTO Siva Gurumurthy recently joined. Emphasis on building secure, enterprise‑grade products.

## Sources
1. [harvey.ai](https://www.harvey.ai/)
2. [harvey.ai/company](https://www.harvey.ai/company)
3. [harvey.ai/blog/landing-a-job-at-harvey](https://www.harvey.ai/blog/landing-a-job-at-harvey)
4. [linkedin.com/company/harvey-ai](https://www.linkedin.com/company/harvey-ai)
5. [jobs.ashbyhq.com/harvey](https://jobs.ashbyhq.com/harvey)

## Other roles at Harvey

- [Staff Software Engineer, Model Infrastructure](https://feeny.ai/job/staff-software-engineer-model-infrastructure-harvey-san-francisco-8a16y83nftsj) — San Francisco, CA
- [Senior Software Engineer, Model Infrastructure](https://feeny.ai/job/senior-software-engineer-model-infrastructure-harvey-san-francisco-6tywmebr0r9h) — San Francisco, CA
- [Head of Mid-Market Sales](https://feeny.ai/job/head-of-mid-market-sales-harvey-london-n918xg1r4jgb) — London, United Kingdom
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