Senior Software Engineer, Serverless Container Management, Google Cloud

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will build the core execution sandboxes and I/O interfaces that power Cloud Run, Cloud Functions, and App Engine. You will be operating at a massive scale, managing 5+ million Queries Per Second (QPS) and 200+ million daily container startups, providing the underlying platform that makes it all possible. You will also unlock the future of AI by providing a seamless, GPU-enabled container serving platform for rapid model inference.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, implement, and maintain the highly reliable sandbox environments that power Cloud Run, Google App Engine, and Cloud Functions.
• Improve the performance, reliability, and feature set of virtual machine interfaces related to storage, networking, memory management, and process interactions.
• Apply software principles and systems programming (primarily in C++ and Go) to optimize code paths and implement core execution features.
• Debug systems issues, understand root causes, and build resilient solutions.
• Contribute to the ongoing convergence and modernization of the underlying platform capabilities across the Google Cloud Serverless portfolio.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, with a focus on building systems in C++, Go, or Java.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture in a production environment.
• Experience with low-level systems programming on Linux or other Unix-like operating systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms applied to performance optimization and memory management in high-throughput systems.
• 1 year of experience in a technical leadership role, managing cross-functional engineering initiatives or guiding architectural decisions.
• Experience developing accessible technologies and fostering engineering practices.
• Experience with virtualization concepts (e.g., Kernel-Based Virtual Machines), containerized workloads (e.g., Docker and Kubernetes), and troubleshooting operating system or storage internals.