10 months ago
Base Salary
$238k - $290k/yr
Responsibilities
- Develop and maintain internal backend frameworks and libraries for API routing, service lifecycle management, caching, messaging, and error handling.
- Create APIs, service templates, and versioned interfaces that establish consistent patterns for services and features.
- Improve platform performance and scalability through asynchronous I/O, streaming data processing, and modern backend architecture patterns.
- Design domain-specific abstractions for authorization, streaming, data governance, event processing, retrieval, context handling, and prompt lifecycle management.
- Build tracing, metrics, and automated testing into the platform to improve reliability and observability.
- Support GenAI-native workloads including high-throughput model inference and streaming or long-running API interactions.
- Collaborate with model infrastructure, developer experience, infrastructure, and product engineering teams to integrate platform components and promote best practices.
Requirements
- 7+ years of software engineering experience post-BS/MS, including scalable backend systems or internal developer platforms.
- Bachelor’s or master’s degree implied by the requirement for experience post-BS/MS.
- Proficiency in Python or similar languages and deep knowledge of APIs, data stores, concurrency, and distributed systems.
- Hands-on experience with web frameworks and service architectures such as Flask, FastAPI, bounded context services, or microservices, plus versioned API design.
- Familiarity with Redis, Kafka, SQL/NoSQL databases, vector databases, caching, and messaging technologies.
- Experience writing high-quality, well-tested code using unit and integration testing, static typing, and CI.
- Strong problem-solving, developer experience, collaboration, and communication skills.
- Experience contributing to or maintaining internal libraries or frameworks is preferred.
Tech Stack
Categories
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.