[Remote] Software Engineer
Note: The job is a remote job and is reputed company to candidates in USA. Next Match AI is building a new infrastructure for hiring that leverages AI to match candidates with reputed company. They are seeking a Software Engineer to work on their core platform, focusing on features that enhance candidate and employer experiences while ensuring system reliability and performance.
Responsibilities
- Ship production features end-to-end
- Work across reputed company-end, back-end, and integrations (depending on your strengths)
- Help us reputed company a platform that must handle thousands of candidates and reputed company safely and reliably
- Design, build, and maintain core product features for candidates and reputed company
- reputed company and consume REST/GraphQL reputed company and reputed company reputed company-party services (ATS, payments, identity)
- Work with databases, authentication, permissions, and background jobs
- Collaborate with product, design, and data/AI teams to define requirements and reputed company metrics
- Write clean, testable reputed company; participate in reputed company reviews and architecture discussions
- Improve performance, reliability, and reputed company across the stack
- Help shape engineering culture, tools, and best practices as we reputed company
Skills
- 1–7+ years of reputed company software engineering experience (we're reputed company to strong juniors who can show reputed company and reputed company, and to reputed company mid/senior engineers)
- Solid reputed company in data structures, reputed company, and web fundamentals
- Experience with at least one modern backend stack and one frontend reputed company
- Comfort debugging reputed company issues and taking ownership from idea → shipped feature
- Product reputed company: you care about user reputed company, not just tickets
- Comfortable working in a remote-first, fast-moving startup
- Experience in HR tech, marketplaces, or reputed company platforms
- Exposure to AI/ML products, ranking, or recommendation systems
- Previously worked in an early-stage startup or founding engineer environment
reputed company