The role
From Google's own posting.
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.
As a part of the Software Engineer role on the Google Compute Engine (GCE) Fleet Deployment Platform team, you will have huge potential for impact, improving GCE's customer satisfaction by landing significant improvements to GCE's current deployment systems. You will own the services and tools that manage the life-cycle of VM and host software updates. You will be working along with a highly driven and talented team building innovative solutions to improve the deployment velocity, reliability, and predictability.
In this role, you will have a lot of opportunity for innovation, to devise strategies for disruption free and pipelined releases to decrease software age in GCE and meet production uptime standards.
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 behind Google's groundbreaking innovations, empowering the development of 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 .
Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
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.
8 years of experience with data structures and algorithms.
5 years of experience in cloud compute software infrastructure, building operationally excellent services in a release engineering context, updating software state across a large fleet.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience in a large-scale distributed systems environment.
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.