Software Engineer III, Infrastructure, Core
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Apply to Software Engineer III, Infrastructure, Core at GoogleJob details
- Location
- New York, New York
- Work type
- Onsite
- Compensation
- $147,000 - $210,000/yr
- Posted
- 4 days ago
- Apply on
- careers.google.com
About this role
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience in software development using C++.
- Experience in designing, building, and maintaining cloud or distributed systems infrastructure.
- Experience in database design and optimization for scalability and high availability.
- Experience in the software development lifecycle, including coding, testing, and deployment.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience with large-scale distributed systems.
- Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure).
- Experience with generative AI, generative AI agent, and Google infrastructure.
- Ability to drive change, manage conflict, and ensure policy compliance.
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.
Enable Google to meet its data protection and regulatory obligations scalably, proactively, and sustainably in the AI era. Through end-to-end, protected-by-default solutions, we transform the company’s infrastructure to secure GenAI products and agentic use cases. We work on the company's important commitments in an engineering-focused way to accelerate and scale the delivery of safe and reliable AI products.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- 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.