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Kafka Jobs in San Francisco
130 open positions · Updated 13 hours ago
130 Kafka roles across 58 companies, most in Backend; 6% fully remote; typical advertised salary $193.4k
Who is hiring (58 companies)
Work arrangement: 8 fully remote · 66 hybrid · 18 on-site · 38 not stated
Advertised salaries: p25 $177.2k · median $193.4k · p75 $225k (from 81 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 20 of 130 positions
Search with filters →Join TRM Labs as a Senior Software Engineer to design scalable data services for blockchain transaction analysis.
Join Vapi as a senior Infrastructure Engineer to enhance reliability in a real-time voice platform.
Build production AI agent systems for one of the world's largest GPU fleets at Together AI.
Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.
Join VGS as a Sr. Software Engineer to enhance quality standards in our high-throughput payment systems using AI-assisted methodologies.
Join MaintainX as a Staff Data Engineer to shape the technical direction of a comprehensive data platform.
Join ngrok as a Senior Full-stack Software Engineer to build and evolve AI traffic management systems in a remote-friendly environment.
Lead the design and implementation of data infrastructure for a growing portfolio of SaaS companies at Beacon Software.
Join Beacon Software as a Member of Technical Staff to build a robust data platform for a growing portfolio of SaaS companies.
Join Mithril as a Software Engineer to build and maintain backend systems for a cloud-native AI infrastructure platform.
Join Mithril as a Software Engineer to build and maintain backend systems for a cutting-edge AI infrastructure platform.
Shape the architecture and drive the technical direction of Perplexity's data ecosystem as a senior member of the Data Platform team.
Join Patreon as a Staff Software Engineer to architect and build scalable data infrastructure for a leading creator platform.
Lead and grow a team of data platform engineers to build scalable data infrastructure for high-velocity experimentation.