{"id":2858467,"url":"https://alion.io/job/google-staff-software-engineer-site-reliability-engineering-caching-sre-2","title":"Staff Software Engineer, Site Reliability Engineering, Caching SRE","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":83,"open_postings":172,"ghost_share":0.041,"stale_share":0.57,"repost_share":0.041,"time_to_fill_p50_days":30,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":155000,"max_usd":301000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":564},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false}],"status":"live","first_seen_at":"2026-10-19T12:10:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-24T14:31:18Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the job\nSite Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.\nMuch of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.\nIn this role, you will architect resilient, automated production environments that meet stringent service level objectives. You will lead the team through some of Google's most pressing issues, including: scaling our architecture across the portfolio to accommodate exponentially growing demands for infrastructure capacity, supporting the growing business and compliance needs across different product areas, and adapting our operational models to support highly accelerated product development cycles.\nBehind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nEngage in and improve the whole lifecycle of services from inception and design, through to deployment, operation, and refinement.\nSupport services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.\nMaintain services once they are live by measuring and monitoring availability, latency, and overall system health.\nScale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.\nPractice sustainable incident response and blameless postmortems.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, a related field, or equivalent practical experience.\n8 years of experience with software development in one or more programming languages.\n3 years of experience leading projects.\n3 years of experience designing, analyzing, and troubleshooting distributed systems.\nPreferred qualifications:\nMaster's degree in Computer Science or Engineering.\nExperience mentoring engineers and cultivating a high-standards team culture.\nExperience applying deep AI proficiency to solve highly ambiguous infrastructure issues and drive significant business impact.\nAbility to shape technical strategy, influence critical engineering decisions, and drive consensus across cross-functional 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