обновлено 23 часа назад
Mobile Infrastructure Engineer (AI)
250 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mobile Infrastructure Engineer (AI): Building and operating the release, CI, testing, stability, observability, and AI tooling behind a high-traffic consumer mobile trading product with an accent on iOS and Android delivery reliability, crash-free performance, and measurement-driven quality. Focus on automating releases, detecting and fixing crash clusters, creating AI evaluation harnesses, and maintaining fast, trustworthy developer feedback loops.
Location: New York, United States; on-site
Base salary: $250,000–$350,000 annually, plus equity and benefits.
Company
Polymarket operates a peer-to-peer prediction market platform where users trade on outcomes across politics, economics, sports, culture, and current affairs.
What you will do
- Own release tooling across iOS and Android, including automated builds, code signing, store submissions, phased rollouts, hotfixes, and post-release health checks.
- Build and maintain trusted CI infrastructure with build-time budgets, flaky-test detection, merge gates, and device and simulator infrastructure.
- Develop regression gates and automated coverage to support crash-free and ANR targets, while fixing crash clusters and hardening error paths in app code.
- Operate observability and alerting systems that identify issues before they affect users.
- Build AI into the mobile toolchain through evaluation harnesses, AI-assisted developer workflows, and AI agents for shipping and testing.
- Set engineering budgets, track them over time, and demonstrate improvements with data.
Requirements
- Broad mobile infrastructure experience at consumer scale across iOS, Android, or both.
- Experience with CI/CD, release automation, test infrastructure, and mobile stability engineering.
- Hands-on experience with Sentry or similar crash monitoring, LaunchDarkly or similar feature flagging, and fastlane or an equivalent release tool.
- Practical experience applying AI to engineering, including evaluation harnesses, LLM-powered features, or AI agents in developer workflows.
- Measurement-driven approach to quality, with the ability to instrument systems, set budgets, and prove improvements.
- Ability to work directly in app code and independently own release, CI, quality, observability, and AI tooling.
Nice to have
- Experience with real-time data applications, live market feeds, or mobile trading products.
- Background in fintech or other data-intensive consumer mobile products.
Culture & Benefits
- Competitive salary and equity.
- Unlimited paid time off.
- Full health, vision, and dental coverage.
- 401(k) matching.
- New MacBook Pro, display, and accessories provided.
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