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Lucid Growth Media in Jaipur is hiring for an Android automation engineer to own reliability of native automation software on devices and emulators. You will improve Kotlin components, diagnose failures and ensure outcomes align with reports.
This role requires Kotlin, Android lifecycle knowledge and hands-on device debugging. You will collaborate with backend, integration and browser automation engineers. AI coding tools will support your work.
Company: Lucid Growth Media
Website: https://lucidgrowthmedia.com/
Department: Engineering
Employment type: Full-time
Work mode: On-site
Job location: Shyamnagar, Jaipur, Rajasthan
Minimum experience: 3 years of professional experience
Maximum experience: 5 years of professional experience
Prior on-site development-team experience: At least 2 years
Monthly take-home salary: ₹40,000–₹60,000 — up to ₹60,000, based on demonstrated capability and relevant experience. The offer will include a salary breakdown.
Working schedule: Monday to Saturday; second and fourth Saturdays off. Sundays off.
Shift timing: 9:0 AM–6:00 PM (9-hour shift)
Application deadline: 30 September 2026
Skills: Kotlin, native Android, UI automation, accessibility services, Android lifecycle and permissions, ADB, logcat, API integration, local persistence, Git and signed releases.
Own the reliability of Android automation software running on devices and emulators. You will improve existing native components, diagnose failures, integrate execution with backend services and ensure that reported outcomes match what actually happened.
This is a native engineering role requiring Kotlin, Android lifecycle knowledge and practical device debugging. You will work alongside backend, integration and browser automation engineers. Company-provided AI coding tools support the work.
Experience with cross-platform app bridges, device fleets or repeatable automation test environments is useful. We will assess native engineering and recovery skills directly through a small provided sample.
Work follows documented tasks, approval, implementation, review and verification. We value early escalation of blockers and honest reporting of results.
Selection includes a short AI-assisted initial interview, an approximately 60–90-minute practical using synthetic material, and an on-site technical discussion. Final hiring decisions include human review.