{"id":2508099,"url":"https://alion.io/job/google-senior-software-engineer-infrastructure-google-distributed-cloud","title":"Senior Software Engineer, Infrastructure, Google Distributed Cloud","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3287},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Unix","optional":false},{"name":"C++","optional":true},{"name":"Docker","optional":true}],"status":"live","first_seen_at":"2026-10-14T07:07:01Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T04:15:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nGoogle'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 this team, you will build the infrastructure for Google Distributed Cloud (GDC) connected on-premise Anthos clusters as the platform provides a variety of customers including retail and global telecommunications with a managed k8s platform that is located in their data centers, connected to their private network. You will deliver the compute and storage services that support mission-critical workloads for Retail customers as well as Manufacturing customers including Application Specific Machine Learning (ASML).\nFor information on our announced customer engagements - see https://www.googlecloudpresscorner.com/2023-12-06-McDonalds-and-Google-Cloud-Announce-Strategic-Partnership-to-Connect-Latest-Cloud-Technology-and-Apply-Generative-AI-Solutions-Across-its-Restaurants-Worldwide.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.\nUS: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWrite and test product or system development code.\nParticipate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\nReview code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\nContribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\nTriage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, 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