Software Engineer, GCE Control Plane, Early Careers, PhD
AI Summary ✨
Requirements:
PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).
Nice to haves:
2 years of experience related to infrastructure automation, cloud platforms (particularly Google Cloud/GCE), CI/CD systems, or building/maintaining large-scale testing/staging environments.
Experience in leveraging AI/ML in solving Developer Experience/DevOps related problems.
What you'll be doing:
Manage API test coverage gaps discovery and test auto generation for complex compute workloads.
Create and run virtual machines on Google infrastructure.
Develop tools, frameworks, and release processes that empower Control Plane developers to efficiently release software to meet ongoing demand for new Compute feature for Google Cloud customers.