
Job Overview
Location
Bengaluru
Job Type
Full-time
Category
Software Engineering
Date Posted
August 8, 2026
Full Job Description
đź“‹ Description
- • 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.
- • 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
🎯 Requirements
- • 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 http://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
🏖️ Benefits
- • Competitive salary
- • Comprehensive health insurance
- • Flexible work hours
- • Opportunities for professional growth and development
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Harvey AI Inc.
Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.
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