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Harvey

Builds AI software for lawyers

Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 12 years of hands-on backend infrastructure or platform engineering experience in production environments.
  • At least 5 years of engineering management experience.
  • Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, continuous integration and continuous delivery, and infrastructure-as-code tooling such as Terraform or Pulumi.
  • A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs.
  • Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes.
  • Strong people leadership, including hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture.
  • Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations.
  • A systems mindset, bias for simplicity, and ability to raise standards while keeping teams moving fast.
  • Must be authorized to work in India; visa sponsorship is not available.

Responsibilities

  • Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship.
  • Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations.
  • Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it.
  • Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code.
  • Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling.
  • Improve system design quality, harden critical paths, and develop durable solutions to reliability bottlenecks before they become customer-facing failures.
  • Partner with AI and product teams to support new product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems.
  • Contribute as a hands-on technical leader when needed, particularly in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs.
  • Harden the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution.
  • Improve database resilience and recovery so incidents are mitigated quickly and the main database does not become the bottleneck during critical events.
  • Raise site reliability through stronger alerting, failover strategy, autoscaling, and runbooks.
  • Scale vector and retrieval infrastructure that supports document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities.
  • Build a multi-region, enterprise-grade platform that meets data residency, security, and uptime expectations for global customers.

Desired Qualifications

  • Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability.
  • Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers.
  • Familiarity with Azure at scale; GCP or AWS experience also transfers well.
  • Experience supporting global, follow-the-sun operations or building teams across regions.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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