Senior Software Engineer, Core Infrastructure

Harvey; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Job summary

Harvey seeks a Software Engineer for the Core Infrastructure team in San Francisco, CA. This role entails designing and building new systems that ensure the reliability and scalability of our legal AI platform.

You will lead technical initiatives and mentor junior engineers while optimizing distributed systems. Applicants should have over 4 years of experience in Infrastructure Engineering, deep proficiency with cloud platforms, and strong programming skills in Python or Go.

Qualifications

• 4+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment.
• Strong fluency in Infrastructure as Code (IaC) tools—Terraform, Pulumi, or CloudFormation.
• Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale.

Responsibilities

• Design and build scalable, fault-tolerant infrastructure systems that power Harvey’s AI platform.
• Own and evolve our multi-cloud infrastructure (Azure, GCP).
• Lead technical initiatives around observability and incident response.

Skills

Infrastructure Engineering

Platform Engineering

Cloud Infrastructure (Azure)

Terraform

Kubernetes

Python

Go

Tools

Datadog

Sentry

Job description

Role Overview

As a Software Engineer on the Core Infrastructure team at Harvey, you will design and build new infrastructure systems while scaling and strengthening existing ones. Your work powers every user interaction with Harvey’s AI platform, processing billions of prompt tokens and millions of daily requests worldwide. You’ll balance innovation—building new systems—and operational excellence, ensuring reliability, scalability, and security for our global legal AI platform.

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 fail‑over 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 and 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 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
• A 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

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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity, 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 [e-mail].