---
title: 'Senior Software Engineer, Production Engineering at Harvey'
canonical: 'https://feeny.ai/job/senior-software-engineer-production-engineering-harvey-san-francisco-wbtj6zf08k6g'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer, Production Engineering at Harvey

- **Company:** [Harvey](https://feeny.ai/companies/harvey)
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/harvey/6a840e0d-6af8-4ad6-a182-7534ce64e7e2

## 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

Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.

We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.

In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth.

At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.

## WHAT YOU'LL DO

## INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP

- Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads.
- Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
- Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.
- Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.
- Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.
- Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.

## INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS

- Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
- Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.
- Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.
- Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.
- Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.
- Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.
- Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.
- Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.
- Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.

## WHAT YOU HAVE

- 5+ years of software, infrastructure, site reliability, or production engineering experience.
- Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
- Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.
- Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.
- Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.
- Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.
- Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.
- Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
- A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.
- Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.
- A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.

## NICE TO HAVE

- Experience supporting AI/ML or LLM infrastructure at scale.
- Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
- Experience with multi-cloud infrastructure or hybrid cloud environments.
- Experience building internal platforms or developer tooling that improves engineering velocity and production safety.

## COMPENSATION

$161,300 - $241,900 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)

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