{"id":3386390,"url":"https://alion.io/job/uber-sr-software-engineer-backend","title":"Sr Software Engineer - Backend","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":133,"ghost_share":0.03,"stale_share":0.564,"repost_share":0.09,"time_to_fill_p50_days":12,"computed_at":"2026-11-02T06:13:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Incident Management","optional":false},{"name":"SQL","optional":false},{"name":"Druid","optional":true},{"name":"Flink","optional":true},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-28T06:35:15Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T21:24:52Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Cleaned Document\n\nAbout the role and team\n\nEngineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer (Data & Backend), you will architect mission-critical systems that power the foundation of trust across our global marketplace - from ensuring millions of earners are paid accurately and on time to scaling the simulation platforms that drive billions in pricing decisions. You will work on uniquely ambitious projects where performance, reliability, and scale cannot be separated.\nThe problems here are complex, the systems are massive, and the pace is fast. You’ll need to make smart decisions with imperfect information and own your work end-to-end: from the first design doc to debugging production issues when the stakes are highest. We are looking for technical powerhouses who think in systems, stay calm under pressure, and care about building things that actually work. If you’re energized by challenge and motivated by real-world impact-this is where you’ll grow.\n\nWhat you’ll do\n\nDesign and build long-lasting engineering artifacts that reduce complexity and increase developer velocity across the organization.\n\nSolve messy, high-impact problems at the intersection of low latency and high correctness, often without a clear starting point or obvious solution.\n\nForesee architectural problems or opportunities and work with leadership to address them before they impact the global marketplace.\n\nLead organization-wide development and adoption of key frameworks while role-modeling coding best practices and high-quality design review.\n\nCollaborate cross-functionally with Product, Science, and Ops to translate ambiguous business requirements into production-ready technical roadmaps.\n\nMentor and guide other engineers, acting as a technical brand ambassador and raising the bar for excellence across the engineering organization.\n\nBasic Qualifications\n\n6+ years of professional experience in backend software engineering, data engineering, or a related technical role.\n\nExpertise in writing high-quality code to solve strategically important problems that span multiple organizations.\n\nAdvanced proficiency in SQL and data warehousing, with a demonstrated ability to identify and reconcile architectural gaps.\n\nExperience leading org-wide engineering projects through all lifecycle stages: inception, stakeholder engagement, implementation, and operations.\n\nProven track record of overseeing incident management processes and directing on-call rotations in alignment with global best practices.\n\nDemonstrated ability to make sound engineering/business tradeoffs, considering long-term implications for the greater good of Uber.\n\nBachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.\n\nPreferred Qualifications\n\nExperience building high-performance, scalable distributed systems at a 100M+ user scale.\n\nExpertise in real-time streaming frameworks (Flink, Spark) and OLAP systems (Apache Pinot, Druid) to reduce system complexity.\n\nExperience with Big Data/Hadoop ecosystem tools used to automate complex data orchestrations across multiple product areas.\n\nStrong leadership traits: Experience serving as a representative for the organization to the broader internal and external technical community.\n\nProven ability to get alignment and buy-in for large-scale technology transformations across multiple job functions.","description_format":"text","description_chars":3433,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Ride 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