Why This Job is Featured on The SaaS Jobs
Infrastructure has become a core differentiator in modern SaaS, and this role sits at the layer where reliability, cost, and customer trust are won or lost. Harvey is operating a high-usage, enterprise-facing AI platform with global reach, which makes core infrastructure work materially different from internal tooling. The focus on multi-region cloud, Kubernetes, and production-grade distributed systems reflects a SaaS environment where scale and availability are product features.
For a senior engineer building a long-term SaaS career, the themes here map to durable platform competencies: multi-cloud operations, infrastructure as code, and observability that ties system health to measurable service outcomes. Experience designing rate limiting, quota management, and failover mechanisms transfers directly to other multi-tenant SaaS products, especially those with usage-based consumption and strict enterprise expectations around security and uptime.
This role is best suited to engineers who prefer owning foundational systems and making tradeoffs across performance, resilience, and operational simplicity. It will fit someone comfortable leading technical initiatives, partnering across product and security, and mentoring peers through design and incident learnings. The remote option also signals a need for clear written communication and disciplined execution across time zones.
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. With 1500+ 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 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
As a Senior 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 Bengaluru, India.
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
6+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
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
Additional Information
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
