Senior Full-Stack Developer

At Jobscan, 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 ❤️! 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. Core responsibilities - Frontend

Build and evolve complex user flows

Work with a modern SPA stack (Vue)

Implement performance- and conversion-aware UI

Instrument analytics and experiments

Handle cross-domain behavior, browser storage, auth/session edge cases

Core responsibilities - Backend

Design and maintain APIs for resume parsing, scoring, matching, and reporting

Build 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 performance

Write testable, maintainable business logic

We care more about clear boundaries and correctness than framework purity.

Core responsibilities - Data & AI (product-facing)

Ship AI-assisted features (analysis, rewriting, evaluation)

Work with structured outputs (JSON schemas, validators)

Understand cost, latency, and quality tradeoffs

Use analytics data to guide product decisions

You don’t need ML theory—but you must be comfortable treating AI as a production dependency with cost, latency, and failure modes.

Core responsibilities - DevOps & Infrastructure

Work in a containerized, multi-service environmentImprove CI/CD pipelines and release safety

Debug production issues across services and domains

Participate in reliability, observability, and cost optimization

Be comfortable reading infra configs—not just writing app code. 

Experience operating services on AWS (ECS, S3, SQS, CloudWatch, etc)

Required skills & qualifications

5+ years building production web applications

Strong full-stack fundamentals with depth in at least one area

Experience with modern frontend frameworks (Vue preferred), backend APIs (Laravel preferred), and relational databases (MySQL preferred)

Containerized environments (Docker)

Experience shipping and maintaining real user-facing features

Proven ability to make sound technical trade-offs—knowing when to prioritize speed, when to invest in quality, and when cost matters

Care about product outcomes as much as technical quality—you understand how architecture, performance, and code decisions impact users and business metrics

Preferred skills & qualifications

Experience developing custom WordPress plugins

Experience with Elasticsearch or equivalent

Resume / recruiting / ATS-related domain experience

Experience modernizing or migrating legacy stacks

What success looks like

You ship meaningful improvements regularly

You spot edge cases before users report themYou communicate tradeoffs clearly

You leave systems cleaner than you found them

You can take a vague problem and turn it into a shipped solution without step-by-step direction