Software Engineer

• Own features from requirements through production, including breakdown, development, deployment, monitoring, and maintenance
• Build and evolve the new TypeScript/NextJS system replacing the legacy platform
• Take feature requests, estimate work, and deliver independently
• Write clean, tested, production-ready code
• Make technical decisions and explain trade-offs
• Monitor production features using logs, metrics, and alerts
• Refactor, document, and reduce technical debt
• Investigate dev-escalations and participate in incident response
• For L4, coordinate domain incident investigations, delegate tasks, communicate status, and ensure post-mortems
• Write and maintain runbooks and documentation
• Participate in the shared on-call rotation after ramp-up
• Write unit and integration tests
• Participate in code reviews and identify edge cases and risks during planning
• Work with Product, Design, QA, and other engineers
• Contribute to sprint planning and technical discussions
• Mentor junior engineers at L3+ levels
• Progress from shipping an initial production feature to independently delivering end-to-end features and handling domain dev-escalations

• Active, hands-on TypeScript/NextJS experience
• Experience with PostgreSQL, Prisma, AWS (EC2, RDS, CloudWatch, SQS, S3, NLB), Docker, GitHub Actions CI/CD, and CodeRabbit
• Experience with Vitest and Playwright
• Daily use of AI coding tools for code generation, debugging, test writing, codebase exploration, and code review acceleration
• Ability to understand and evaluate all shipped code, including AI-generated code
• PHP professional experience is a plus, but not required
• L3: Ability to lead small projects, mentor L1/L2 engineers, improve the codebase proactively, and teach effective AI workflows
• L4: Ability to act as technical authority for a domain, drive cross-team projects, set team AI standards, and drive incident response

• Remote work in Latin America
• Shared on-call rotation (~1 week/month after ramp-up)
• Critical incident response target: 15 minutes
• High-severity incident response target: 1 hour
• Professional growth through mentoring, technical discussions, and AI workflow development