H

Harvey

Builds AI software for lawyers

Staff Software Engineer

Cloud EngineeringUpdated on Nov 11
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 10 years of experience in Infrastructure Engineering or Platform Engineering in a production environment.
  • A long track record of building and scaling complex, large-scale distributed systems.
  • Deep proficiency with cloud infrastructure platforms; Azure is preferred, and GCP or AWS experience is transferable.
  • Strong fluency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
  • A solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale.
  • Experience with observability tools such as Datadog and Sentry, and incident response practices using tools such as PagerDuty and Incident.io.
  • Strong programming skills in Python, Go, or similar languages.

Responsibilities

  • Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions.
  • Own and evolve multi-cloud infrastructure across Azure and GCP, including Kubernetes orchestration, networking, and container management.
  • Lead technical initiatives around observability, incident response, and operational excellence, building systems that enable rapid issue detection and resolution.
  • Architect and optimize distributed systems for reliability, including load balancing, quota management, and failover mechanisms.
  • Partner with Product Engineering and Security teams to ensure infrastructure supports product development.
  • Drive infrastructure-as-code practices using tools such as Terraform and Pulumi to enable reproducible, auditable deployments.
  • Mentor engineers and raise the technical bar through code reviews, design reviews, and technical leadership.
  • 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 without degrading user experience.
  • Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers.
  • Develop observability infrastructure with granular SLA monitoring, burn-rate alerts, and detailed token attribution for cost tracking.
  • Lead the evolution of CI/CD pipelines to improve developer velocity while maintaining production stability.

Desired Qualifications

  • Experience building infrastructure for AI/ML workloads or high-throughput inference systems.
  • A background in distributed rate limiting, load balancing, or quota-management systems.
  • Experience operating multi-tenant platforms with strict security and compliance requirements.
  • A track record of leading complex cross-functional projects and delivering measurable impact.

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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