Backend Developer (Node.js, TypeScript)

Quick Facts

• Role: Backend Developer (Node.js, TypeScript)
• Work model: Fully remote; hybrid option for Poznań/Warsaw and surroundings
• Focus: Secure, high-quality backend development with responsible AI

Description

You will design and implement backend APIs and data models for an HR-tech platform automating recruitment and candidate preselection. The job emphasizes quality, performance, security by design, and stable production operations. You will also help shape an AI-supported SDLC, using AI coding assistants while critically validating their results.

Responsibilities

• Refine requirements with the team before implementation: questions, assumptions, confirmed scope, and acceptance criteria
• Design and implement REST APIs in NestJS (controllers, services, DTOs, validation, documentation)
• Model data in MongoDB (Mongoose/Typegoose), optimize queries and indexes
• Implement integrations with partner and customer systems
• Build asynchronous processing using Redis, Azure Service Bus, and cron jobs
• Maintain code quality with unit and e2e tests, code reviews, and SonarQube
• Support an AI-assisted SDLC process (agents, skills, automation)
• Handle deployments and maintenance: CI/CD with Bitbucket Pipelines, Docker, Kubernetes on Azure, monitoring and incident response with Datadog

Requirements

• 4+ years of commercial experience with Node.js and TypeScript (mid) or 7+ years (senior)
• 3+ years of commercial experience with Next.js
• Practical experience with NestJS and REST API design (JWT authentication, access control)
• MongoDB and Mongoose expertise (schemas, aggregations, indexes)
• Automated testing as a daily practice (Jest, integration tests)
• Security knowledge: OWASP Top 10, GDPR/RODO, and protecting sensitive data
• Daily use of AI coding assistants (e.g., Claude Code) with critical output verification
• Docker and Git experience; effective work within a code review process

Benefits

• Fully remote work with a hybrid option for Poznań/Warsaw area
• Real impact on platform architecture and new functionality
• Responsible AI usage with emphasis on quality, security, and stability