Why This Job is Featured on The SaaS Jobs
Production engineering is a leverage point in modern SaaS, and this role sits directly on the layer that determines whether a product can be trusted at scale. Harvey is positioning an enterprise platform around agentic AI workloads, which typically pushes infrastructure beyond standard web application patterns into higher variance compute, tighter security expectations, and stricter reliability requirements. That combination makes the remit particularly relevant to SaaS teams building customer-facing AI capabilities without compromising uptime or performance.
For a long-term SaaS career, the value here is in owning the operational substrate that other engineering teams depend on. Work spanning Kubernetes, workflow orchestration, capacity planning, observability, and infrastructure-as-code builds a portfolio that transfers across cloud-native SaaS companies. The emphasis on cost efficiency and production readiness also aligns with the realities of scaling subscription businesses, where reliability and unit economics are tightly linked.
This is best suited to engineers who prefer systems thinking over feature delivery and who like turning incidents and bottlenecks into durable platform improvements. It will fit someone comfortable influencing across product engineering, security, and AI infrastructure, and who wants a role where operational responsibility and technical leadership develop in parallel.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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
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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
