Job description

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 Google Distributed Cloud (GDC) Infrastructure Operator Experience (IOx) team integrates software engineering with systems operations in restricted, air-gapped environments to make GDC operable and reliable at scale. Our mission is to bridge the 'Empathy Gap' between product development and infrastructure operators, transitioning GDC operations from reactive firefighting to proactive engineering. We act as pathfinders for the latest platform issues, converting those experiences into repeatable operating frameworks and intuitive tools that empower partners and customers to run GDC autonomously. Rather than simply automating the status quo, we proactively push GDC up the operability gradient by simplifying control systems, reducing signal noise, and designing software solutions that eliminate manual toil at its source. 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Design, develop, and integrate software to improve system operability, observability, and simplicity across the platform. • Automate complex infrastructure operations and provisioning tasks using software engineering and generative AI tools. • Collaborate with product teams to design reliable, observable, and easy-to-operate features. • Operate customer production environments and write software to automate manual tasks. • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • Experience with Linux system administration. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. • Experience with Linux system administration. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical fields. • 2 years of experience with data structures or algorithms. • Experience in designing, building, or maintaining AI platform infrastructure to support machine learning workloads. • Experience managing, scaling, and deploying containerized applications using Kubernetes.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Design, develop, and integrate software to improve system operability, observability, and simplicity across the platform.
Automate complex infrastructure operations and provisioning tasks using software engineering and generative AI tools.
Collaborate with product teams to design reliable, observable, and easy-to-operate features.
Operate customer production environments and write software to automate manual tasks.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience with Linux system administration.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience with Linux system administration.
2 years of experience with data structures or algorithms.

Nice-to-haves

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical fields.
Experience in designing, building, or maintaining AI platform infrastructure to support machine learning workloads.
Experience managing, scaling, and deploying containerized applications using Kubernetes.

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Keywords to mirror

aimachine learningkubernetes

Platform: google
Effort: medium

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