About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience in software development.

* 8 years of experience with one or more general purpose programming languages

including: Java, C/C++ or Python.

* 5 years of experience designing, developing, and launching software products.

* 5 years of experience building and developing large-scale infrastructure,

distributed systems, or large-scale databases systems.

* 5 years of experience with software design and architecture.

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 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.

The Network Demand Generation (Demand FA) team is the engine behind NetSoft’s

mission to architect Google’s global production network. Our mission is to build

the automated systems that translate Google’s product ambitions from Gemini to

Cloud into the physical reality of the world’s most sophisticated network

infrastructure.

As we scale into the AI era, demand financial analysis (FA) is fundamentally

rethinking how we plan. We are moving away from process heavy, human-in-the-loop

workflows toward a fully autonomous platform. Our software directly dictates

billions of dollars in annual capital expenditures (CAPEX) investment, ensuring

Google has the capacity to innovate while maintaining optimal cost performance.

The AI and Infrastructure team is redefining what’s possible. We empower Google

customers with breakthrough capabilities and insights by delivering AI and

Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our

customers include Googlers, Google Cloud customers, and billions of Google users

worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering

the development of our cutting-edge AI models, delivering unparalleled computing

power to global services, and providing the essential platforms that enable

developers to build the future. From software to hardware our teams are shaping

the future of world-leading hyperscale computing, with key teams working on the

development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,

Data Center operations, systems research, and much more.

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:

* Drive the technical strategy and architectural goal for critical systems

across network product ordering and platform engineering.

* Lead complex, cross-functional projects from initial design through to

launch, ensuring technical excellence and on-time delivery.

* Mentor and guide other engineers, fostering a culture of high-quality

software development and innovation.

* Collaborate with product managers, program managers, and other engineering

teams to define requirements and influence the technical roadmap.

* Solve problems related to large-scale distributed systems, big data

processing, and data repositories.

Which skills does this role require?

JavaC++PythonSoftware ArchitectureDistributed SystemsLarge-scale InfrastructureDatabase SystemsNetwork InfrastructureBig Data ProcessingProject ManagementMentoringSoftware EngineeringInfrastructureNetwork Product OrderingLarge-scale SystemsBig DataCAPEXAICloudGeminiTPUsVertex AIPlatform EngineeringMentorshipGCPProduct Strategy

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