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.