Senior Mobile Engineer

Full Time
  • October 23, 2026
  • Employment Info

    JOBĀ  SUMMARY

    Requirements
    • Strong native iOS development in Swift and native Android development in Kotlin, with hands-on experience shipping and maintaining production apps on both platforms.
    • Solid grasp of mobile architecture and platform fundamentals: lifecycle, state and offline handling, performance and memory.
    • Fluency with AI coding tools (like Claude Code) across the full development lifecycle: exploration, implementation, refactoring, debugging, tests and docs.
    • A spec-first mindset: you decompose work into agent-executable units with clear constraints and acceptance criteria.
    • The root-cause habit: when AI output goes wrong, you stop and ask what was missing from the prompt, the context or the plan, and fix the upstream artifact, not just the symptom.
    • Deep care for the product and commercial context your team operates in.
    Responsibilities
    • Deliver mobile features through spec-driven, agentic workflows: write clear specs and acceptance criteria, then direct and verify agent-led implementation to production standards.
    • Design agent workflows that solve recurring team problems, defining boundaries, escalation points and where humans stay in the loop.
    • Curate the context that makes agents effective: repo maps, architecture summaries, decision logs and reusable task templates.
    • Own delivery end-to-end: clarify requirements, do the technical research, engage stakeholders and clear blockages.
    • Ship and maintain production apps across the full release cycle: store submission, phased rollout, and crash monitoring.
    • Partner with Product, Data and Design to deliver core mobile roadmap initiatives.
    Desired Qualifications
    • React Native or other cross-platform experience, including native modules and bridging.
    • Mobile CI/CD experience: Fastlane, code signing, automated store deployment.
    • Experience designing multi-step or multi-agent systems, including orchestration and human/agent handoffs.
    • Experience instrumenting and evaluating AI workflows: evals, regression checks, reasoning about cost, latency and quality tradeoffs.
    • Experience with marketplaces or two-sided platforms.

     

     

     

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