Staff Software Engineer

We are seeking a Staff Engineer to lead the design and development of scalable ATS integrations and APIs within the TypeScript/Node ecosystem. This role is responsible for driving the architecture behind high-performance data synchronization, ensuring the long-term reliability and scalability of integrations, and helping us transform hiring through automation and intelligence., * Building and maintaining integrations with external vendors using TypeScript and Node

• Designing an ATS architecture that:
• Supports high-performance ATS data synchronization
• Minimizes regressions through strong automated and regression testing
• Is extensible and capable of scaling as the platform grows
• Coaching and guiding members of the API team through technical leadership and best practices
• Owning and maintaining ATS integrations over the long term, ensuring reliability and performance

• 15+ years of experience in software development
• 5+ years of experience operating at a Staff Engineer level
• Experience building integrations with ATS platforms or handling large-scale dataset ingestion
• Alternatively, strong experience designing and operating ETL processes
• Proven experience building high-performance, reliable APIs
• Familiarity with integration platforms such as Merge or Kombo
• Experience leading large, multi-layered technical projects
• Strong background in test-driven development and automated testing practices
• Deep experience within the TypeScript / Node.js ecosystem
• Demonstrated ability to work at a detailed level with multiple cross-functional internal stakeholders
• Experience with recruiting ATS platforms and/or HR technology
• Bachelor's degree or equivalent practical experience

Who Thrives

• Enjoys collaborating with talented, supportive teammates
• Is friendly, approachable, and always willing to lend a helping hand
• Can create clarity and direction in ambiguous environments
• Is humble and comfortable acknowledging and learning from mistakes
• Is highly curious and largely self-taught across multiple domains
• Feels energized by difficult problems and complex systems
• Values ownership, impact, and the ability to directly influence outcomes