Staff Software Engineer

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience programming in C++.
• 5 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.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 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.

• Experience in system integration or system design and computational modeling.
• Experience working with one or more of the following: web or mobile

application development, Unix/Linux environments, distributed and parallel

systems, machine learning, information retrieval, natural language

processing, networking, developing software systems, or security software

development.

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.

Google's global network infrastructure is transforming to support the immense

scale, reliability, and rapid AI changes in Google Cloud. Google's software

engineers develop next-generation technologies that change how billions connect

and interact. Our products handle information at massive scale and high

reliability. We need versatile engineers who display strong leadership, mentor

others, and enthusiastically manage new problems across the stack.

In this role, you will build software-defined infrastructure that automates

traffic demand planning, capacity forecasting, network design, and deployment.

Navigating complex challenges, you will make an impact by bringing fresh ideas

across distributed systems, large-scale system design, networking, AI, and

natural language processing.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Provide Technical leadership to the team, design, and architecture to build

customer facing available, reliable, scalable systems.

• Involve in software design and implementations, adhere to software best

practices and architectural considerations on a project-wide level.

• Collaborate across teams effectively, manage complex requirements and convert

the outcomes into simplified solutions.

• Understand the AI/ML applications, performance monitoring, identify key

problem areas, work with various dependency teams, prioritize and drive

solutions effectively to consensus.

• Strategize and drive projects to improve development velocity, engineering

excellence and product excellence.