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Azure Jobs in Palo Alto
18 open positions · Updated 23 hours ago
18 Azure roles across 9 companies, most in Backend; 6% fully remote; typical advertised salary $160k
Who is hiring (9 companies)
Role types
Work arrangement: 1 fully remote · 8 hybrid · 1 on-site · 8 not stated
Advertised salaries: p25 $135k · median $160k · p75 $220k (from 13 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 18 of 18 positions
Search with filters →Join DataHub as a Staff/Senior Software Engineer to lead reliability and scalability initiatives for our AI & Data Context Platform.
Join Qualified Health as a Principal Backend Engineer to lead the technical direction of our Gen AI for Healthcare SaaS platform.
Join MongoDB as a Cloud Operations Engineer to ensure the success of Atlas customers through operational excellence and automation.
Join SpaceX as a Product Operations Engineer to enhance AI capabilities for U.S. federal agencies and ensure service reliability.
Join Typeface as a Senior Software Engineer to build innovative web applications and cloud services leveraging generative AI.
Join Clockwork Systems as a Senior Software Engineer to design high-performance network acceleration software.
Join Clockwork Systems as a Tech Lead to guide engineering direction and develop interactive visual interfaces in a collaborative environment.
Join Zania as a Software Engineer to build scalable backend systems for cutting-edge AI in Governance, Risk, and Compliance.
Join Qualified Health as a Senior Backend Engineer to develop a cutting-edge AI platform for healthcare.
Lead the development of a cutting-edge AI SaaS platform in healthcare as a Technical Lead Platform Engineer.
Join Qualified Health as a Senior Platform Engineer to develop a cutting-edge Gen AI for Healthcare SaaS platform.
Join Mind Robotics as a DevOps Engineer to build and operate infrastructure for advanced robotic systems in a hands-on AI environment.