Senior Full-Stack Engineer

Pengiklan Anonim; Kota Yogyakarta; On-site; IDR 250,000,000 - 450,000,000; Full time

Job summary

White Code Labs is seeking a senior full-stack engineer with 5+ years of experience to design and ship high-quality features. You will build end-to-end capabilities using Node.js for the backend and React for the frontend, focusing on scalable APIs and robust data models.

The role involves enforcing backend validation, crafting efficient interfaces, and optimizing performance for data-heavy workflows. Experience with AWS and AI tools is a plus in a fast-paced environment.

Qualifications

• 5+ years of full-stack engineering experience.
• Solid experience with Node.js and React in production.
• Strong data modeling and entity relationship skills.
• Experience implementing backend validation and enforcing business rules.
• Ability to ship complete features end-to-end.
• Comfort working in fast-paced, ambiguous environments.
• Experience using AI tools effectively, including prompting and validating outputs.

Responsibilities

• Build and ship end-to-end features using Node.js (backend) and React (frontend).
• Design and implement clean APIs and services.
• Model and manage complex data structures.
• Enforce business rules and validation at the backend level.
• Build efficient, user-friendly interfaces for data-heavy workflows.
• Optimize for speed of use and iterate based on user feedback.

Skills

Node.js

React

API design

Data modeling

Backend validation

AWS

Tools

AWS

Job description

White Code Labs is an award-winning enterprise software company that partners with mid-sized businesses and large enterprises. We specialize in AI, automation, cloud, and DevOps, with a strong focus on cost optimization and operational efficiency. Our work is centered around helping organizations modernize their systems, streamline workflows, and unlock measurable business value through thoughtful engineering and practical innovation.

About the Role:

We are looking for a senior full-stack engineer with 5+ years of experience in building and shipping high-quality software features. As a senior full-stack engineer, you will be working closely with our team to design and implement clean APIs, build efficient and user-friendly interfaces, and optimize for speed of use.

Key Responsibilities:

• Build and ship end-to-end features using Node.js (backend) and React (frontend)
• Design and implement clean APIs and services
• Model and manage complex data structures
• Enforce business rules and validation at the backend level
• Build efficient, user-friendly interfaces, especially for data-heavy workflows
• Optimize for speed of use, including keyboard-friendly interactions and minimal friction and Iterate quickly based on real user feedback
• Frontend: React (with optional experience with Angular or Vue)
• Backend: Node.js (with optional experience with Java or Python)
• Infrastructure: AWS or modern cloud platforms

Requirements:

• 5+ years of experience as a full-stack engineer
• Solid experience with Node.js and React in production environments
• Strong understanding of data modeling and entity relationships
• Experience implementing backend validation and enforcing business constraints
• Ability to build and ship complete features end-to-end
• Comfort working in fast-paced, ambiguous environments
• Strong product instincts and ability to turn unclear requirements into simple, usable solutions
• Experience using AI tools effectively, including prompting, refining, and validating outputs
• Strong experience proofreading, testing, and training AI models

Bonus Points:

• Solid experience with AI tools, including proofreading, testing, and training AI models
• Experience with integration, including API integrations and third-party system integrations
• Background in early-stage startups (0-1 builds)
• Strong experience with performance optimization (caching, query tuning, API efficiency)
• Side projects or products built independently

What Makes Someone Successful in This Role:

• Prioritizing correctness where it matters (data integrity, validation)
• Optimizing for usability, especially in repetitive workflows
• Avoiding over-engineering and focusing on practical, maintainable solutions
• Moving quickly, but with good judgment and clear thinking
• Treating AI as a multiplier, not a crutch