Tech lead, Persistent Disk Control Plane

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 provide technical and thought leadership for the Persistent Disk control plane team, the rest of GCE Control Plane organization (Compute, Networking, Minfra), our partners and customers to evolve PD Control Plane, delight users, and grow the business.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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Provide feedback to technical leaders and cultivate a culture of inclusiveness and engineering excellence. Coach and mentor engineers to design and implement highly available and reliable services.
• Establish technology and product goals in collaboration with product management, SRE and software engineers.
• Architect and design features aimed at providing the highest levels of reliability, compliance, scalability and efficiency in a distributed and performance-sensitive control plane.
• Oversee and guide the team to design high performance and scalable control plane features, support end user APIs and provide clear, concise and unambiguous API surfaces. Integrating with various lower stack layers for providing deeper functionality.
• Drive end-to-end execution of projects within and cross-organization, identify technical risks and clearly communicate them to project stakeholders. Be proactive, self-driven, responsible; own problems end-to-end. Identify problems worth solving.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience or experience with a relevant advanced degree.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience in technical leadership, leading project teams, and setting technical goals and direction, and experience with distributed systems (e.g., load-balancing and replication techniques, distributed consensus, and handling of network and hardware failures).
• Experience architecting and developing distributed systems: Unix/Linux environments, REST API development (throttling, latency, quota management.), distributed and parallel systems, information retrieval, storage, networking, developing software systems, or security software development.

Preferred qualifications:

• Experience in control plane infrastructure for distributed services, API performance tuning, security/compliance across resources, customer workflow simplification and observability.
• Experience with multithreading, concurrency, and performance optimization, including synchronization primitives, trade-offs, data locality, caching, and pitfalls (e.g., ABA and false sharing).