Engineering Lead

Nusantics

Jakarta Pusat

On-site

IDR 400,000,000 - 900,000,000

Full time

5 days ago
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Job summary

Nusantics in Jakarta is seeking a senior software engineer to act as the primary technical decision maker for day-to-day engineering, owning implementation approaches and trade-offs within the product direction set by the VP of Digital Product.

You will contribute hands-on frontend leadership at a senior level (React/Next.js/TypeScript/Tailwind), build complex features, and drive design system implementation, while providing backend review and mentoring for Go work.

Qualifications

  • 4+ years software engineering with 2+ years leading engineers.
  • Senior frontend with React, Next.js, TS, Tailwind; owns frontend architecture.
  • Backend understanding to review Go work and lead backend engineers.
  • Experience with AI-assisted development tooling.
  • Fluency in Bahasa Indonesia and working English.

Responsibilities

  • Make day-to-day engineering decisions and own implementation approaches.
  • Contribute hands-on frontend development at senior level with complex features.
  • Review backend work and mentor backend engineers as needed.
  • Plan refactoring, upgrades, and technical debt reduction and defend in planning.
  • Participate in infrastructure planning and gradual ownership handover.
  • Own test environment management in coordination with QA.
  • Support stress testing to identify performance bottlenecks.
  • Lead sprint planning, refinement, and estimation from engineering.
  • Establish AI-assisted development practices and tooling standards across the team.
  • Hold regular technical syncs with VP of Digital Product, Product Design, and QA.

Skills

Leadership
Frontend architecture
Mentoring
Communication
Agile delivery
AI tooling

Tools

React
Next.js
TypeScript
Tailwind
Go
AWS
CI/CD

Job description

  • Serve as the primary technical decision maker for day to day engineering, owning implementation approach and technical trade-off calls within the product direction set by the VP of Digital Product.
  • Contribute hands-on to frontend development at senior level, including complex feature architecture, reusable components, and design system implementation.
  • Provide backend review and contribution as capability develops, supported by the VP of Digital Product, the DevOps engineer, and the existing backend team.
  • Plan and schedule technical maintenance, including refactoring, dependency upgrades, and technical debt reduction, and defend that work during planning.
  • Participate in infrastructure planning, with gradual handover of infrastructure ownership over time.
  • Own test environment management in coordination with QA.
  • Assist with stress testing to identify performance bottlenecks.
  • Run sprint planning, refinement, and estimation from the engineering side, and surface delivery risk early and honestly.
  • Establish AI-assisted development practice across the team, including tooling conventions and review standards for AI-generated code, to improve both velocity and output quality.
  • Hold regular technical sync with the VP of Digital Product, Product Design, and QA.

Requirement

  • Minimum 4 years of professional software engineering experience, including 2 years leading or mentoring engineers.
  • Senior level frontend proficiency in React, Next.js, TypeScript, and Tailwind, with demonstrated ownership of frontend architecture rather than assigned component work.
  • Sound engineering judgement and design system experience, meaning the ability to select the appropriate solution for the constraint and articulate the trade-off.
  • Sufficient backend understanding to review backend work meaningfully and lead backend engineers credibly, with minimum proficiency with Go.
  • Demonstrated mentoring track record with evidence of improving other engineers' independence.
  • Strong communication and leadership skills, including the ability to document decisions and disagree productively with senior stakeholders.
  • Experience with agile or Scrumban delivery, including estimation and refinement.
  • Practical experience using AI-assisted development tooling in production work, with a considered view of its limits.
  • Fluency in Bahasa Indonesia and working proficiency in English.
  • Familiarity in cloud infrastructure and CI/CD familiarity, AWS preferred.
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