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276 open positions · Updated 1 week ago
276 React roles across 110 companies, most in Fullstack; 4% fully remote; typical advertised salary $184k
Who is hiring (110 companies)
Work arrangement: 11 fully remote · 137 hybrid · 59 on-site · 69 not stated
Advertised salaries: p25 $163k · median $184k · p75 $222.8k (from 181 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 276 positions
Search with filters →Join Netic as a Software Engineer to build AI systems for essential services in a dynamic New York office.
Join Watershed as a full-stack software engineer to build impactful sustainability products in a mission-driven startup environment.
Join Found as a Staff Software Engineer to lead technical decisions and mentor engineers in a fully remote environment.
Join Vise as a Senior Software Engineer to lead impactful projects in a fast-paced fintech startup environment.
Join Crosby as a Backend Engineer to build scalable systems and AI tools for contract review in a pioneering AI-native law firm.
Join Crosby as a Staff Frontend Engineer to architect and build user-facing experiences for an AI-native law firm.
Join Finch as a Software Engineer to design and develop software solutions that make justice more accessible.
Join Edra as a Front End Software Engineer to build high-quality user-facing product experiences in a collaborative environment.
Join Edra as a Full Stack Engineer to build foundational systems and user experiences in a collaborative, onsite environment.
Lead the design and delivery of production-grade AI agents while managing and growing a team of engineers at Sierra.
Join Attentive as a Senior Software Engineer to shape the future of our high-throughput event streaming platform.
Design and build AI-driven products that empower marketers to acquire subscribers and drive sustainable revenue growth.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a dynamic startup environment.