Job Description
The role involves collaborating with engineers to improve development processes by building scalable tools and infrastructure, analyzing system metrics, and leveraging AI to enhance engineering productivity in a self-driving technology company.
Key Responsibilities
- Identify pain points in the engineering process and develop solutions
- Define, instrument, analyze, and monitor metrics related to engineering velocity and system health
- Create and improve internal tools and infrastructure to enhance developer productivity
- Build scalable infrastructure for continuous integration, testing, and deployment
- Manage and improve fundamental libraries and code dependencies
- Leverage Generative AI to increase engineering efficiency
- Educate engineers on best practices and new tools
Requirements
- Strong software engineering skills in C, Python, or Golang
- Ability to flexibly build new tools end to end to address constantly changing developer needs
- Passion for software engineering best practices
- Experience in building scalable and reliable infrastructure pipelines
- Expertise in build frameworks such as Bazel, CMake, and Buildbarn
- Familiarity with popular cloud platforms such as GCP or AWS, and Kubernetes in depth
- Minimum of 5 years of professional experience and a Bachelor’s degree in computer science, software engineering, or a related field, or 4 years of experience with a Master’s degree in the same fields, or equivalent practical experience
Benefits & Perks
Compensation/salary range between $160,360 and $240,540 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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