About Us
AtJobscan, we’re passionate about empowering job seekers to land more interviews with AI. We have helped millions of job seekers get more interviews in 100+ countries. Jobscan’s platform benefits job seekers, employers, universities, and communities. We're a fast-growing startup 🚀. Since its founding in 2014, Jobscan has thrived for 11 years as a 100% self-funded company, achieving consistent profitability and rapid growth without VC investment.
Recently, we’ve transformed into an AI-first company, leveraging cutting-edge tools to enhance operations and our product. This independence allows us to stay laser-focused on our customers, delivering impactful solutions for job seekers. Join us if you wish to be a part of a company that makes a real difference in people’s lives ❤️!
Summary
We're hiring a senior-leaning Full-Stack Engineer to work on Jobscan, a multi-domain SaaS product helping job seekers optimize resumes using data, rules-based logic, and AI-assisted analysis.
This is a true end-to-end role: frontend, backend, infrastructure, and production ownership. You'll ship user-facing features that span SPA UI, APIs, background jobs, and cloud infrastructure - then measure, iterate, and improve them.We’re looking for
A developer who excels at making technical decisions with thoughtful trade-offs between quality, speed, and cost. You should feel equally comfortable shipping a pragmatic solution today or investing in technical excellence for tomorrow’s scale. We value product thinking as much as technical skill -understanding that your architectural choices directly impact user experience and business outcomes.Working hours (in Taiwan)
Meet in-person on TuesdaysAvailable for online calls from 6:00am-9:30am Monday to FridayKey ResponsibilitiesFrontend
Build and evolve complex user flowsWork with a modern SPA stack (Vue)Implement performance- and conversion-aware UIInstrument analytics and experimentsHandle cross-domain behavior, browser storage, auth/session edge cases
Backend
Design and maintain APIs for resume parsing, scoring, matching, and reportingBuild background jobs and queue-based workflows for async and long-running workIntegrate external services (document processing, payments, AI providers)Own data correctness, migrations, and query performanceWrite testable, maintainable business logicWe care more about clear boundaries and correctness than framework purity.
Data AI (product-facing)
Ship AI-assisted features (analysis, rewriting, evaluation)Work with structured outputs (JSON schemas, validators)Understand cost, latency, and quality tradeoffsUse analytics data to guide product decisionsYou don’t need ML theory -but you must be comfortable treating AI as a production dependency with cost, latency, and failure modes.DevOps Infrastructure
Work in a containerized, multi-service environmentImprove CI/CD pipelines and release safetyDebug production issues across services and domainsParticipate in reliability, observability, and cost optimizationBe comfortable reading infra configs—not just writing app code. Experience operating services on AWS (ECS, S3, SQS, CloudWatch, etc)