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.
The Serverless Container Management team is at the heart of the Google Cloud Platform (GCP) revolution. Our mission is to ensure that 'if it’s in a container, it works well and fast'. We engineer the reliability, performance, and expedient delivery of execution sandboxes and I/O interfaces for Cloud Run, Google Cloud Functions (GCF), and App Engine.
We manage infrastructure that supports millions of applications, handling over 200 million unique container startups per day and 5+ million QPS. Our team innovates on secure sandboxing technologies and container file systems to provide a platform that allows serverless products to run arbitrary user code at massive scale.
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.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write high-performance product or system development code in C++ and Go to advance container-serving and file system capabilities.
- Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies for serverless execution and I/O interfaces.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content for the serverless one community and adapt content based on product updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.
- 2 years of experience with software development, or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience developing large-scale infrastructure, distributed systems, or networks, including experience with compute technologies, storage, or hardware architecture.
- Experience working with container technologies (e.g., Docker, Kubernetes) or Linux internals/kernel interfaces.
- Experience with C++ or Go within a production environment.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or related technical fields.
- 2 years of experience with data structures and algorithms applied to complex infrastructure problems like memory management or performance optimization.
- Experience developing accessible and secure technologies, specifically involving sandboxing (e.g., gVisor) or virtualization.
- Expertise in Cloud Infrastructure systems, including experience with public cloud providers and serverless/FaaS architectures.
- Strong collaborative skills with a track record of putting the user first when designing critical infrastructure components.