Senior iOS Developer

Billease; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Job summary

Billease, a consumer fintech in the Philippines, seeks a Senior iOS Developer to own major parts of the iOS app from spec to production. You will join a small team collaborating with Android, Backend, QA, Design, and Product to deliver BNPL, loans, and payments features.

You will ship features, resolve production issues, write tests, perform code reviews, and drive reliable releases. You will champion quality and share AI-driven improvements with the team.

Qualifications

• Proven experience delivering iOS apps end-to-end.
• Experience with automated testing and QA processes.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Own end-to-end feature development from requirements to production.
• Resolve production issues by identifying root causes and adding regression tests.
• Perform code reviews to maintain high engineering standards.
• Handle releases and hotfixes to ensure reliable deployments.
• Drive quality improvements across code, tests, and processes.
• Share AI knowledge and help the team leverage AI coding agents.

Skills

iOS development

Swift

App deployment

DX/CI

Tools

Xcode

Git

CI/CD

Job description

Billease is a consumer fintech company in the Philippines. Our iOS app enables customers to access cash loans and credit lines, shop online and in-store with Buy Now, Pay Later (BNPL), pay bills, and purchase mobile load. We're looking for a Senior iOS Developer to take end-to-end ownership of major parts of our iOS app, from technical specifications to production. You'll join a small iOS team working closely with Android, Backend, QA, Design, and Product.

What You'll Own

• Like everyone on our team, you'll ship features and, within your first six months, share ownership of how the team builds and delivers software.
• End-to-end feature development — Take features from requirements and implementation through testing and production release.
• Production issue resolution — Trace issues to their root cause, ship fixes, and add regression tests to prevent recurrence.
• Automated testing — Build and maintain unit, smoke, and UI tests using agent skills and Maestro.
• Code reviews — Review code thoroughly and help maintain high engineering standards.
• Releases and hotfixes — Support reliable releases and respond effectively to production issues.
• Quality improvements — Identify opportunities to improve code quality, reliability, and development processes.
• AI knowledge sharing — Share practical learnings and help the team improve how we use AI coding agents.

How You Work

• You use AI coding agents regularly. You use Claude Code, Codex, Cursor, or similar tools for meaningful engineering work beyond autocomplete. If your current employer restricts these tools, relevant side projects count.
• You take ownership of AI-generated code. You give agents the right context, verify their output, and never ship code you cannot explain.
• You focus on customer outcomes. Done means the feature works for customers, not simply that the ticket is closed. You raise issues early, whether they involve unclear specifications, risky deadlines, or bugs you've introduced.
• You communicate clearly. You write clear merge request descriptions, review comments, and technical questions that colleagues can understand without needing a call.
• You're curious by nature. You enjoy programming and dig into problems until you understand how and why things work.
• You care about continuous improvement. You're passionate about improving engineering practices, development workflows, and the way teams deliver software.

How We Work

• With AI AgentsAI coding agents are part of our daily engineering workflow, but every line of AI-generated code still has a human owner who understands and takes responsibility for it.
• We use Claude Code with a shared rulebook for agents and reusable skills for repetitive tasks. Every developer is encouraged to help improve this workflow by sharing ideas, challenging assumptions, and identifying where AI agents add value—and where they fall short.