Builds and scales developer platforms, CI/CD systems, testing infrastructure, and AI integrations to boost engineering velocity and reliability at an AI-native company. Requires 7+ years backend experience, leadership, and tools like Python, Kubernetes, and Terraform.
231k – 340k/yr
Hybrid7+ YOEDevOps / SRE
About the role
What You'll Do
Develop and scale a world-class developer platform to accelerate Harvey's hyper growth. Boost velocity and stability through robust CI/CD systems, effective test frameworks, and reliable development environments.
Build load testing and benchmarking infrastructure essential for evaluating and optimizing the performance of AI-native applications.
Pioneer the future of software development and site reliability engineering by integrating AI agents across the software development, deployment and maintenance lifecycle.
Collaborate with Backend Platform teams to embed testability, reliability and observability into the platform, ensuring services built on our foundation are robust, easy to test and maintain.
Work closely with engineering teams to gather feedback, evangelize best practices, and make the “paved road” a reality — empowering every Harvey engineer to move fast with confidence.
Set the strategic direction and roadmap for scaling developer experience as Harvey expands, and contribute strategically to team decision-making.
Provide strong technical leadership and mentorship, upholding a high bar for engineering excellence across the team.
What You Have
7+ years of software engineering experience, including building 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 (Buildkite, GitHub Actions), test frameworks, or load and performance testing.
Hands-on experience with container technologies (Docker, Kubernetes) and infrastructure as code (Pulumi, Terraform).
A track record of producing high-quality, well-tested code, consistently following software development best practices to ensure quality and reliability.
Proven technical leadership throughout the entire project lifecycle, including ideation, design, implementation, and productionization.
Experience mentoring engineers, guiding architectural decisions, and shaping culture to foster engineering excellence.
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 integrating AI agents into a developer ecosystem is a strong plus.
Build and own CI/CD systems, agentic AI tooling, and developer platforms that power engineering velocity at a fast-growing healthcare AI company. Requires strong experience with modern build systems, Kubernetes, and AI-assisted development workflows.
230k – 290k/yr
Hybrid5+ YOEDevOps / SRE
Staff Software Engineer - Infrastructure
SkydioSan Mateo, CA
Staff Infrastructure Engineer responsible for re-architecting Kubernetes infrastructure, improving continuous delivery, and making code changes across the stack to support drone platform needs.
230k – 275k/yr
Hybrid6+ YOEDevOps / SRE
Sr. Member of Technical Staff
Cerebras SystemsSunnyvale, CA
Develops resilient, high-availability software for AI inference on AWS, including deployment workflows, container orchestration with Docker/Kubernetes, monitoring, and debugging. Requires Master's in CS and 18 months experience with AWS services, IaC tools, and Python.
230k – 250k/yr
HybridDevOps / SRE
Sr. Staff Software Engineer - Data Platform
DatabricksMountain View, CA +1
Lead the strategic vision for operational stability of Databricks' internal "Databricks-on-Databricks" environment. Transition infrastructure to an agent-driven, self-healing architecture for 99.99% availability across multi-cloud data platform services.
229k – 314k/yr
On-site10+ YOEDevOps / SRE
Staff Software Engineer, Scaling AI Systems
AbridgeSan Francisco, CA
Staff-level engineer improving performance, stability, and scalability of AI healthcare systems. Focuses on distributed systems, Kubernetes, observability, and cloud-native tooling to support hyperscale growth.