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Northslope Technologies

Full Stack Software Engineer

New York (Remote)$185k–$275kfulltimemidAdded 1 month ago

About this role

Northslope is looking for a Full Stack Software Engineer to design and build impactful AI-driven applications. The role involves creating user-centric interfaces, robust APIs, and efficient data pipelines while collaborating with various teams to enhance customer workflows.

What you'll do

  • Architect and develop front-end and back-end applications
  • Transform complex datasets into actionable tools
  • Design user-friendly interfaces and robust APIs
  • Operationalize data pipelines for high-impact solutions
  • Lead projects from inception to production
  • Collaborate with stakeholders across different teams

What they're looking for

  • Proficiency in TypeScript and React
  • Experience with RESTful APIs
  • Understanding of data structures and analytics
  • Strong collaboration and communication skills
  • Ownership mindset in project management
  • Background in building production-grade applications
  • Familiarity with backend frameworks like Node.js
  • Knowledge of modern CSS frameworks

Benefits

  • Competitive salary with stock options
  • Comprehensive health benefits including dental and vision
  • 401k matching
  • Flexible hybrid work environment
  • Opportunity to influence product development
  • Occasional team travel for offsite meetings
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Northslope Technologies

Northslope Technologies builds AI-driven applications that solve complex business problems through tailored software solutions. The company is hiring Full Stack Software Engineers and Forward Deployed Software Engineers to design user-centric interfaces, develop robust APIs, and collaborate directly with customers to deliver mission-specific AI applications.

View all jobs at Northslope Technologies

Likely interview questions

  • Walk us through a full-stack project you've built from scratch. How did you approach the frontend, backend, and data layers, and what was the most complex part of stitching it all together?
  • Tell us about a time you had to work with complex or large-scale data in production. How did you ensure performance and reliability?
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