9 months ago
Base Salary
$238k - $290k/yr
Responsibilities
- Develop and scale a developer platform with CI/CD systems, test frameworks, and reliable development environments.
- Build load-testing and benchmarking infrastructure for evaluating and optimizing AI-native applications.
- Integrate AI agents across software development, deployment, and maintenance workflows.
- Collaborate with Backend Platform teams to improve testability, reliability, and observability.
- Gather feedback from engineering teams, evangelize best practices, and establish paved-road workflows.
- Set the strategic direction and roadmap for Developer Experience as Harvey scales.
- Provide technical leadership and mentorship while maintaining a high bar for engineering excellence.
Requirements
- 7+ years of software engineering experience, including scalable backend systems or internal developer platforms.
- Proficiency in Python or similar languages and deep knowledge of backend development fundamentals and distributed systems.
- Hands-on experience with CI/CD systems such as Buildkite and GitHub Actions, test frameworks, or load and performance testing.
- Hands-on experience with Docker, Kubernetes, Pulumi, or Terraform.
- Track record of producing high-quality, well-tested code and following software development best practices.
- Proven technical leadership across ideation, design, implementation, and productionization.
- Experience mentoring engineers, guiding architectural decisions, and shaping an engineering-excellence culture.
- Strong problem-solving, collaboration, and communication skills focused on improving developer experience.
- Experience integrating AI agents into a developer ecosystem is a strong plus.
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.