Staff Software Engineer, Harvey
Backend Platform
$238-290k
Offers bonus and equity
More information about location
3 days a week in office
Domain-specific AI for legal and professional services
Job no longer available
Domain-specific AI for legal and professional services
501-1000 employees
Job no longer available
$238-290k
Offers bonus and equity
More information about location
3 days a week in office
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- If you’re excited about building foundational systems, solving cross-cutting technical challenges, and enabling others to move faster with confidence, we’d love to hear from you
- 7+ years of software engineering experience (post-BS/MS), including building scalable backend systems or internal developer platforms
- Proficiency in Python (or similar languages) and deep knowledge of backend development fundamentals (APIs, data stores, concurrency, distributed systems)
- Hands-on experience with web frameworks and service architectures (e.g. Flask/FastAPI, Bounded context services, microservices) and an understanding of designing clean, versioned APIs
- Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL databases, Vector databases, etc.) and how to use them effectively for high performance and reliability
- A track record of writing high-quality, well-tested code and using tools (unit/integration testing, static typing, CI) to catch issues early and ensure reliability
- Strong problem-solving skills and a passion for improving developer experience — you enjoy creating tools or frameworks that make other engineers more productive
- Excellent collaboration and communication skills, with the ability to work across teams and incorporate feedback
- Experience contributing to or maintaining internal libraries/frameworks is a plus
What the job involves
- As a Backend Platform Engineer at Harvey, you will help build and operate the cohesive backend platform that all our services run on
- In this mid-to-senior level role, you’ll design and implement shared frameworks and libraries that abstract common concerns, improve developer experience, and raise the baseline for reliability and performance across all teams
- Your mission aligns with our platform charter: create “a shared foundation that enables product teams to ship reliable, observable, and performant experiences quickly and safely.” By centralizing common work, you’ll let product engineers focus on shipping features rather than re-inventing the wheel
- This is a high-impact role where the code you write and the systems you build will amplify the productivity and quality of engineering across the entire company
- Develop and maintain Harvey’s internal backend frameworks and libraries that provide common capabilities (API routing, service lifecycle management, caching and messaging primitives, error handling interfaces, etc.), so product teams don’t have to reinvent them
- Create and improve APIs, service templates, and versioned interfaces that establish consistent patterns for building new services and features
- Introduce and champion modern backend architecture patterns like asynchronous I/O (asyncio) and streaming data processing, continually evolving our platform for better performance and scalability
- Design Harvey-specific abstractions and domain-specific frameworks—covering cross-cutting concerns (e.g., authorization, streaming) and areas like data governance and event processing—to provide product engineers with these capabilities out of the box
- Embed reliability and observability into the platform by building in tracing, metrics, and automated tests (shift-left), ensuring services built on our foundation are robust and easy to monitor
- Collaborate with Model Infrastructure team to tackle challenges unique to GenAI-native applications — such as supporting high-throughput model inference, managing streaming and long-running API interactions, and designing abstractions for retrieval, context handling, and prompt lifecycle
- Collaborate with the Developer Experience and Infrastructure teams (who own CI/CD pipelines, build tools, and release infrastructure) to integrate our platform components seamlessly into the deployment and monitoring ecosystem
- Work closely with product engineering teams to gather feedback, evangelize best practices, and make the “paved road” approach a reality — providing strong defaults and clear documentation so teams can move fast with confidences
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Oct 2025
$160m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.0bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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