Lead Agentic Software Engineer, Connected Devices

Lead Agentic Software Engineer, Connected Devices Full-time Department: Software Engineering We are seeking an experiencedLeadAgentic Software Engineer, Connected Devices to build and ship features across our client applications, includingiOS/iPadOS, Android,andElectron/Angular.Thishands-on, code focusedrolecenters onwritingproduction codeandusing agentic coding tools toaccelerate delivery without compromising quality. The position focuses on connecting our client apps with Cricut hardware over Bluetooth, BLE, USB, and Wi‑Fi, sodirecthardware‑software integrationexperienceisessential. You willbring deep expertise in one major client platform and work closely with Product Management and UX to turn defined features into shipped experiences. Dedicate mostof your timetowriting, reviewing, and shipping production code on your primary platform. Use agentic coding tools as a core part of your daily workflow — AI-assisted code review, automated test generation, AI-augmented development — whilemaintainingcode quality, security, and human oversight. Design and build features end-to-end, from technical approach through implementation, testing, and release. Apply established architectural patterns to keep your code modular, maintainable, and testable. Collaborate closely with Product Management and UX to take defined features from spec to shipped experience, surfacing technical tradeoffs and feasibility early. Build andmaintainsecure, reliable communication between client applications and Cricut hardware over Bluetooth, BLE, USB, and Wi‑Fi. Optimize application performance — startup time, memory usage, responsiveness, rendering, battery life, and network efficiency. Ensure application security through encryption, secure authentication, certificate validation, and secure credential/key management. Write andmaintainautomated tests for your features. Drive CI/CD automation, release quality, and deployment processes for your platform (App Store, Google Play, or desktop distribution). Ship behind feature flags with progressive rollout and kill-switches,validatingnew behavior with production telemetry before ramping. Own release health through telemetry — tracking crash‑freerate, performance budgets, and defect trends. Participate in code reviews and share knowledge with other engineers on your platform. Evaluate emerging platform, AI, and tooling technologies, and recommend adoption wherethey'dmeaningfully improve your team's work. Bachelor's orMaster's degree in Computer Science, Software Engineering, ora relatedfield. 8+ years of professional client/frontend software development experience, with deep, production‑levelexpertisein one of: iOS, Android, or Electron/Angular. Strongexpertisein device connectivity — Bluetooth Classic, BLE (including GATT design), USB, and Wi‑Fi (provisioning,mDNS/SSDP discovery) — along with real‑world experience handling pairing, interference, bandwidth limits, and reconnection. Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django. Working knowledge of embedded hardware integration: firmware constraints, command protocols, calibration, OTA updates, and error handling/telemetry. Atleast a year of hands‑on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic patterns, evals, latency/cost/reliability tradeoffs). Expert-levelproficiencyin the language matching your primary platform (Swift, Kotlin, or TypeScript). Strongexpertisein the native UI framework for your platform (SwiftUI/UIKit, Jetpack Compose, or Electron/Angular). Experience with architectural patterns such as MVVM, Clean Architecture, MVI, or component‑based architecture. Experience consuming REST APIs. Experience with automated testing (unit, integration, UI/end‑to‑end) and CI/CD pipelines. Working knowledge of secure credential storage (Keychain, Android Keystore, or equivalent). Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging). Soft Skills Communicates clearly with engineering, product, and design — written and verbal. Collaborates well with Product Management and UX, building alignment on scope and tradeoffs. Shares knowledge readily and helps other engineers on the team grow. Stays curious about new tools and techniques, especially in AI‑assisted development, and brings practical improvements to the team. #J-18808-Ljbffr SmartRecruiters