Senior Software Engineer, Infrastructure, Cloud Storage
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.
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 $166,000-$244,000 + 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
- Design, develop, and maintain a highly performant, ultra low latency framework for multi-resource fair scheduling.
- Develop and tune resource-aware scheduling algorithms, evolving the current scheduling model to support workload.
- Architect and implement concurrency techniques that minimize memory latency, and reduce lock contention while ensuring high throughput.
- Profile, benchmark, and load-test the system to quantify gains in CPU efficiency and latency reduction. Integrate GCS services, develop synthetic workloads that guarantee the correctness of the integration.
- Collaborate with other engineers on the team to build a fair resource scheduling framework.
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 5 years of experience with software development in the programming language C++.
- Experience in distributed computing, infrastructure systems, systems-level C++, and experience building infrastructure.
- Experience in concurrency and memory management, such as implementing custom allocators, and low contention data structures.
- Experience with performance analysis, using tools to diagnose and resolve bottlenecks related to CPU, memory, and cache.
Preferred qualifications:
- Experience in concurrency, performance, and scheduling.
- Knowledge of scheduling algorithms.