Software Engineer, Google Distributed Cloud Infrastructure Cluster

Software Engineer, Google Distributed Cloud Infrastructure Cluster corporate_fare Google place Sunnyvale, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 2 years of experience programming in Python or Go. Experience with large scale distributed systems, distributed computing. Experience with cloud compute platforms such as Kubernetes, cloud functions.

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. About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. Google Distributed Cloud (GDC) Connected is a Google-managed hybrid cloud platform connected to GCP for edge/on-premises deployments. Both products build on top of enterprise grade hardware, leveraging open source technologies to enable a shorter (and more cost effective) time to market for customers. The Cluster team is responsible for providing an end-to-end, Google Kubernetes Engine (GKE)-like experience for managing Kubernetes clusters for all of GDC products. 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. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Write product or system development code. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Work on different parts of the cluster management component stack described below and different phases from analysis, designing, implementation, debugging, execution and maintenance. Work on shaping new products from design to execution with Tech Leads, Product Managers, making significant impact through contributions on features.