Software Engineer, Infrastructure Platforms
Job Overview
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Job Description
About the Role
As a Software Engineer, Infrastructure Platforms at Google, you will be at the forefront of developing next-generation technologies that redefine how billions of users connect, explore, and interact with information. Our products demand handling information at massive scale, extending far beyond traditional web search. We seek versatile engineers who can bring fresh ideas across diverse areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
You will work on projects critical to Google’s needs, with opportunities to switch teams and projects as both you and our fast-paced business evolve. We value engineers who display leadership qualities and are enthusiastic about tackling new, full-stack problems as we push technology forward. Your technical expertise will be crucial in managing project priorities, deadlines, and deliverables, encompassing the design, development, testing, deployment, maintenance, and enhancement of software solutions.
The AI and Infrastructure team is dedicated to 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 are the driving force behind Google's groundbreaking innovations, enabling the development of cutting-edge AI models, delivering unparalleled computing power to global services, and providing essential platforms for developers to build the future. Our teams, from software to hardware, are shaping the future of world-leading hyperscale computing, with key contributions to TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, and systems research.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in C++, Python, or Go.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred Qualifications
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
What you'll do
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Compensation & Benefits
The US base salary range for this full-time position is $141,000-$202,000, complemented by bonus, equity, and comprehensive benefits. Salary ranges are determined by role, level, and location. Your individual pay will be influenced by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, excluding bonus, equity, or benefits, which contribute significantly to the total compensation package. Your recruiter can provide more specific salary range details for your preferred location during the hiring process. Google is proud to offer robust benefits.
Key skills/competency
- Large-scale infrastructure
- Distributed systems
- C++, Python, Go
- System design
- Data structures & algorithms
- Debugging & Triage
- Code review & best practices
- Performance analysis
- Network operations
- AI/ML platforms
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience with large-scale systems, distributed computing, and relevant languages (C++, Python, Go) for infrastructure roles.
- Master technical fundamentals: Prepare for rigorous coding challenges focusing on data structures, algorithms, and system design specific to Google's infrastructure.
- Showcase leadership & versatility: Demonstrate instances where you've managed project priorities, debugged complex issues, or adapted to new technical problems.
- Prepare for behavioral questions: Practice articulating your problem-solving process, collaboration skills, and how you align with Google's innovative environment.
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