Why This Job is Featured on The SaaS Jobs
Core infrastructure roles sit at the center of modern SaaS, and this one is anchored in the realities of operating an AI-heavy, enterprise platform. The listing points to multi-cloud deployment, Kubernetes-based orchestration, and high-volume inference traffic, which are increasingly common constraints as SaaS products incorporate model-driven features and expand globally. That combination makes the work relevant beyond any single application domain, because it reflects where platform engineering is heading across the ecosystem.
From a SaaS career perspective, the role builds durable leverage in areas that compound over time: reliability engineering, observability, incident response, and infrastructure as code. Exposure to multi-region patterns, quota management, and cost-aware infrastructure is especially transferable for engineers who expect to support multi-tenant workloads and enterprise expectations around resilience and security. The staff scope also signals practice in technical leadership that maps cleanly to platform, SRE, or broader engineering leadership tracks.
This is best suited to an engineer who prefers systems thinking over feature delivery, and who enjoys balancing new architecture with operational rigor. It will fit someone comfortable partnering across product engineering and security, and who values owning foundational services that other teams build on.
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 — not incrementally, but end-to-end. 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. With 1000+ customers in 60+ countries, 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in New York City, New York. 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 failover 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 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 model 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
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
$201,000 - $264,000 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
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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
