Staff Software Engineer, Harvey

• 10+ 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

Desirable

• 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
• 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
• 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