Engineering Lead

Job Qualification

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.

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.