Binance
via Lever
Pioneer Talent Program - Full Stack Engineer (Front-end Oriented)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 55d ago
The date the source published, not the day we noticed it (2026-07-22). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Asia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$2,062–3,050/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Asia · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 42d ago · last seen just now
The listing
About the Role
As AI profoundly transforms how engineering teams work, we are looking for Full Stack Engineers to serve as "seeds" across our product teams. You will be among the first dedicated full stack engineers, helping the organization establish a highly autonomous, AI-augmented, end-to-end development model.
Responsibilities
-
Own end-to-end development of product features spanning frontend and backend
-
Integrate mainstream AI coding tools (e.g., Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency
-
Translate product requirements into working implementations with minimal handoff friction between frontend and backend
-
Act as a full stack "seed" within your team — champion full stack practices, mentor peers, and help scale AI-augmented development across the organization
-
Proactively identify efficiency bottlenecks in cross-team collaboration and propose improvements to product, design, and engineering processes
-
Contribute to the full product lifecycle — from ideation and design to deployment and iteration
Requirements
-
Bachelor's degree or above; Computer Science or AI-related major preferred
-
1–5 years of professional experience
-
Solid foundation in at least one backend language: Java or Golang
-
Proficiency in Node.js and React
-
Experience owning end-to-end projects in production — not just personal side projects
-
Familiarity with database design, data modeling, and core backend concepts
-
Highly proficient with mainstream AI coding tools (Cursor, Copilot, Claude Code, or similar)
-
Ability to clearly articulate requirements and constraints to AI tools; strong enough fundamentals to review, validate, and correct AI-generated code
-
Self-driven and boundaryless — you don't wait for tasks to be assigned; you proactively identify what needs to be done
-
Product and operational mindset — you can turn vague ideas into clear specs
-
Curious observer — you pay attention to how other teams work and actively suggest improvements
-
Strong logical thinking and communication skills; passionate about learning new technologies
-
If you come from a frontend background, we hope you:
-
If you come from a backend background, we hope you:
1. Strong React engineering depth, with clear judgment on component architecture, reuse boundaries, and state management strategies
2. Familiarity with modern frontend engineering infrastructure, including build tooling, TypeScript type engineering, and automated testing
3. Solid grasp of rendering strategies and performance systems, including critical path optimization, render frame budgeting, and performance monitoring attribution
1. Familiar with high-concurrency programming, with a solid understanding of threading models, locking mechanisms, and asynchronous programming
2. Experience with message queues (Kafka/RabbitMQ), with an understanding of asynchronous decoupling and eventual consistency
3. Understanding of distributed systems fundamentals, including service discovery, circuit breaking, rate limiting, and load balancing
Nice to Have
-
Open-source contributions or notable GitHub projects
-
Cross-platform development experience (iOS/Android/Web)