About the position
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 team focuses on the reliability, performance, and fast delivery of execution sandboxes and input/output (I/O) interfaces for App Engine, Google Cloud Functions (GCF), and Cloud Run. We innovate on sandboxes such as Emerald and gVisor and collaborate with other Serverless teams to provide a platform for running user code. We support container and file systems for millions of Cloud Functions, Cloud Run services, and App Engine apps, handling significant daily Queries Per Second (QPS), throughput, and container startups. Additionally, we are building infrastructure to provide customers access to all Cloud storage options without Google Compute Engine (GCE) Virtual Machines as part of the Serverless Sapphire project. 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.
Responsibilities
- Design, implement, and maintain key components of our virtualization platform's I/O and core execution subsystems that power Cloud Run, Google App Engine, Cloud Functions, and other related external customer-facing features.
- Understand operating system principles and systems programming to debug issues, optimize code paths, implement features, and contribute to the overall architecture of our stack.
- Expertise in system programming, virtualization and storage technologies, understanding and working with low-level system details.
- Work with other engineers to improve the performance, reliability, and feature set of virtual machine interfaces related to storage, networking, memory management, and process interactions. Our stack is primarily C++ and Go.
Requirements
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with data structures or algorithms.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience with Linux Kernel.
- 2 years of experience with software development in C++, Go, or Java.
- Experience with operating systems internals and administration (e.g., filesystems, inodes, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN).
Nice-to-haves
- 2 years of experience with Kubernetes.
- Experience with cloud computing, Serverless, containerized workloads, and has built applications using Cloud Run, Fargate, or similar.
- Experience in learning operating system internals, storage internals, or low-level systems programming or virtualization concepts.
- Experience in systems programming on Linux or other Unix-like systems.
- Ability to build infrastructure and test-driven development.
Benefits
- The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
