Engineering Manager, Production Engineering
Harvey · San Francisco, United States · 2mo ago
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 Engineering Manager to lead our Infrastructure Production Engineering organization. This team is responsible for building and operating Harvey's core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations that enable engineering teams to move quickly with confidence.
In this role, you'll own the reliability, scalability, security, and efficiency of Harvey's infrastructure platform. You'll lead a team of high-performing engineers responsible for 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.
You'll report to the Head of Infrastructure and play a key leadership role in shaping the future of Harvey's infrastructure platform.
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
Leadership & Strategy
Lead, mentor, and grow a team of high-performing infrastructure engineers responsible for Harvey's production infrastructure foundation.
Foster a culture of operational excellence, engineering quality, customer ownership, and continuous improvement.
Partner with Engineering, Security, Product, and AI Infrastructure leaders to define long-term infrastructure strategy and execution priorities.
Drive technical direction for compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
Lead cross-functional initiatives to improve reliability, scalability, security, operational efficiency, and infrastructure cost optimization.
Infrastructure Foundation & Production Operations
Own and operate Harvey's global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
Manage compute resources to maximize utilization, performance, and service availability while supporting rapidly growing AI workloads.
Lead capacity planning, demand forecasting, and fleet lifecycle management to ensure infrastructure scales efficiently with business growth.
Operate and continuously improve Harvey's Kubernetes platform, including cluster provisioning, upgrades, monitoring, reliability, performance, and operational automation.
Own Harvey's Temporal-based workflow orchestration platform, ensuring reliable, scalable, and observable execution of distributed application workflows.
Drive infrastructure cost optimization through capacity management, resource rightsizing, workload efficiency improvements, and utilization monitoring.
Build and maintain 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.
Establish comprehensive observability, monitoring, alerting, incident response, and operational readiness practices across the infrastructure platform.
What You Have
7+ years of software or infrastructure engineering experience, including 5+ years leading engineering teams.
Deep expertise 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 large-scale 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 platforms, including monitoring, logging, alerting, and incident response processes.
Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
Demonstrated success leading complex cross-functional technical initiatives and influencing engineering strategy across organizations.
Excellent communication skills with the ability to communicate technical concepts clearly to both engineering and executive audiences.
A systems-thinking mindset and passion for building simple, reliable, and scalable infrastructure platforms.
Nice to Have
Experience operating workflow orchestration platforms such as Temporal.
Experience supporting AI/ML or LLM infrastructure at scale.
Experience managing GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
Experience with multi-cloud infrastructure or hybrid cloud environments.
Compensation
$260,000 - $340,000 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/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