Staff Software Engineer, NetSoft
at Alphabet
Posted 4 hours ago
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- Compensation
- $207,000 – $307,000 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Join Google as a Staff Software Engineer on NetSoft to lead technical direction for highly available, scalable network and software infrastructure. You will drive the design and implementation of customer-facing systems, collaborate across teams to translate requirements into simple solutions, and analyze AI/ML applications to improve performance. The role emphasizes ownership of outcomes, strategic decision-making, and accelerating development velocity and engineering excellence. The NetSoft program focuses on transforming network operations with software-defined infrastructure and automation within Google Cloud.
Staff Software Engineer, NetSoft
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
- Experience in software development with a focus on integer programming, linear programming, or constraint programming.
- Experience with computational modeling.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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 manage information at a 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 be involved in the end-to-end planning, design and deployment of the network undergoing a major transformation, that is fundamental shift to using software infrastructure to enable end-to-end traffic demand planning, capacity planning, cost optimized network design, and automated workflow-driven deployment. In addition, with the growth in Google Cloud, the need to evaluate and respond to changes quickly is essential and driven by AI/ML growth.
In this role, you will be central to realizing this goal through NetSoft (go/netsoft), operating in a problem space that is broad with high ambiguity, and a ton of opportunities to learn and as well to make a mark.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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
- Lead technical direction for the team by designing and architecting highly available, reliable, and scalable customer-facing systems.
- Drive software design and implementations while adhering to software best practices and architectural considerations on a project-wide level.
- Collaborate across teams effectively, driving requirements and converting the outcomes into simplified solutions.
- Analyze AI/ML applications, performance monitoring, identify key problem areas, work with various dependency teams, prioritize and drive solutions effectively to consensus.
- Drive projects to improve development velocity, engineering excellence and product excellence.
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