7 months ago
Base Salary
$175k - $250k/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 application performance.
- Integrate AI agents across software development, deployment, and maintenance workflows.
- Collaborate with backend platform teams to embed testability, reliability, and observability into platform services.
- Gather feedback from engineering teams, promote best practices, and establish paved-road developer workflows.
Requirements
- At least 3 years of software engineering experience, including building scalable backend systems or internal developer platforms.
- Proficiency in Python or similar languages, with 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, and infrastructure as code using Pulumi or Terraform.
- Track record of producing high-quality, well-tested code and following software development best practices.
- Strong problem-solving skills and an interest in improving developer experience through tools and frameworks.
- Excellent collaboration and communication skills across engineering teams.
- Experience integrating AI agents into a developer ecosystem is a strong plus.
About Harvey
Harvey is domain-specific AI for legal and professional services. Adopted by Fortune 500 companies like AT&T, Verizon, Cox, Koch, KKR, Bridgewater, more than 100,000 lawyers across 2,400+ customers in 70 countries and over 75% of AmLaw 100 law firms rely on Harvey to advance legal expertise faster across contract analysis, due diligence, compliance, and litigation. Backed by Sequoia Capital, OpenAI, GV, Kleiner Perkins, Coatue and EQT, Harvey is the trusted partner in modernizing the legal industry.