About The Position

We are looking for a Senior Mobile Engineer to take end-to-end ownership of Forwood’s mobile application and help shape its future. This is a hands-on, startup-style role where you will build, ship, and operate a production mobile app used in high-risk, real-world environments. You’ll lead development using React Native with Expo, delivering reliable, high-quality experiences across iOS and Android (phones and tablets). You’ll collaborate closely with backend and web engineers, while remaining the primary owner of the mobile stack—making pragmatic technical decisions and lifting quality as the product scales. A core expectation of this role is comfort with Agentic AI-driven development (beyond autocomplete). You’ll use copilots and agents (e.g. CursorAI, Claude Code) to plan, generate, refactor, test, and document work—paired with strong human judgement, review, and guardrails to ensure quality and safety. This role suits a senior engineer who thrives in lean, fast-moving environments, is comfortable working as part of a small, senior team with broad ownership within their domain, and wants their work to have a direct, meaningful impact.

Requirements

  • 7+ years of professional software engineering experience, with a strong focus on mobile development (React Native + Expo) and shipping experiences that work exceptionally well on phones and tablets.
  • Hands-on experience with Agentic AI-driven development (e.g., CursorAI, Claude Code), using agents for planning, refactoring, and test generation—not just autocomplete—while applying strong review and guardrails.
  • Proven track record delivering and maintaining production apps on the App Store and/or Google Play, with strong reliability and performance.
  • Proficiency with mobile CI/CD pipelines (bitbucket, Fastlane, GitHub Actions).
  • Experience integrating native modules, device APIs, and third-party SDKs.
  • Strong understanding of AWS services (ECS, Lambda, RDS, S3, IAM) and backend integration patterns.
  • Expertise in writing and auto-generating robust test suites (Jest, React Native Testing Library, Detox, Playwright).
  • Excellent communication skills, with demonstrated ability to mentor and influence across engineering teams.
  • Passion for adopting and evangelizing emerging technologies to drive measurable improvements in team delivery.

Responsibilities

  • Practice Agentic AI-driven development: use copilots/agents for planning, code generation, refactoring, test creation, and documentation—paired with strong human review, safety, and traceability.
  • Create and share team playbooks (workflows, guardrails, and reusable patterns) to apply agentic AI consistently and responsibly.
  • Lead design and implementation of high-quality mobile UIs in React Native with Expo, ensuring excellent performance and UX on phones and tablets (iOS & Android) with strong native integration.
  • Build, secure, and maintain mobile APIs and SDK integrations, collaborating with backend engineers on AWS-based services (ECS, Lambda, API Gateway, RDS, S3).
  • Drive App Store and Google Play releases end-to-end, including CI/CD automation (builds, signing, distribution), automated testing, and quality gates.
  • Use agents to accelerate creation and maintenance of unit, integration, and end-to-end tests across iOS and Android, ensuring high coverage, maintainability, and confidence across phones and tablets.
  • Enforce static analysis, type safety, and performance benchmarks; implement observability and reliability practices (crash monitoring, logging/metrics) to maintain a high quality bar.
  • Mentor mid-level engineers on mobile engineering best practices, a strong quality culture (testing, performance, observability), and effective agentic AI workflows.
  • Facilitate cross-team workshops, lunch and learns, and documentation to promote sustainable, agentic AI-driven development workflows.
  • Partner with full stack engineers to deliver cohesive user experiences across web and mobile platforms.
  • Stay abreast of AI tooling advancements; evaluate and integrate new models, extensions, and workflows.
  • Identify process bottlenecks and architect AI-powered solutions to streamline development cycles.
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