Innovatily - Quality Assurance Engineer - Mobile App Testing

Role : QA Engineer - Mobile (React Native)

Innovatily | Location : Bengaluru (or remote, per team norm) | Reports to : QA Lead / Engineering Manager

About the Role :

Innovatily is hiring a manual QA Engineer to own quality for Innovatily apps built on React Native (iOS and Android). This role starts as hands-on manual testing and will grow into using AI-assisted testing tools (test case generation, triage copilots, self-healing automation) as those are introduced to the team no prior AI tooling experience required, but technical curiosity is.

The single hardest part of this app to get right is location : continuous background GPS tracking while a ride is in progress, plus lighter single-point check-ins elsewhere in the flow. This JD is written around that reality most of the role is normal mobile QA, but the location/background-tracking competency below is a hard requirement, not a nice-to-have.

What You'll Own :

- Manual functional and exploratory testing across the iOS and Android apps (shared React Native codebase, platform-divergent native behavior)

- End-to-end validation of continuous background location tracking during active rides permission flows, tracking continuity, foreground service / background mode behavior, and recovery after signal loss or app backgrounding

- Validation of single-point location check-ins (pickup confirmation, arrival detection, etc.)

- Writing clear, reproducible bug reports (repro steps, expected vs. actual, severity, device/OS/build version, logs)

- Building and maintaining a device/OS/OEM test matrix relevant to the Canadian market

- Regression testing across app releases, with particular attention to permission and background-execution behavior, which changes materially between OS versions

- Collaborating with engineering to distinguish app bugs from OS-level or OEM-level battery/background restrictions

- Over time : working alongside AI-assisted QA tooling as it's introduced (test case generation, log triage, etc.) training provided

Must-Have Requirements :

- 2+ years of manual QA experience on mobile apps (iOS and Android)

- Direct prior experience testing an app with continuous background location tracking or a background service rideshare, delivery/logistics, fleet management, or fitness/activity tracking apps all qualify. This is non-negotiable : it's the highest-risk, highest-impact bug class in this app, and it doesn't transfer well from testing apps that only use location as a single check-in.

- Working knowledge of iOS location permission tiers ("Always" vs. "While Using the App") and how backgrounding/throttling can affect tracking

- Working knowledge of Android location permission tiers ("Allow all the time" vs. "While using the app"), foreground service requirements for background tracking, and permission auto-reset behavior on unused apps

- Comfortable diagnosing whether a tracking failure is an app bug, a stock-OS restriction, or an OEM battery manager (e.g., Samsung's aggressive background app management) or knows how to isolate this with engineering

- Ability to write clear, technically precise bug reports that engineers can act on without back-and-forth

- Comfortable with basic technical tooling : reading device logs (Xcode/Android Studio), using ADB commands, configuring simulator/emulator location mocking (GPX/KML routes)

Strongly Preferred :

- Testing experience specific to ride-share, delivery, or logistics apps

- Familiarity with real-device testing constraints why simulators/emulators cannot fully validate background tracking (GPS multipath, carrier handoff, real elapsed-time battery/OS behavior)

- Exposure to cloud device farms (BrowserStack, Sauce Labs, Firebase Test Lab, AWS Device Farm) for cross-device regression coverage

- Awareness of urban GPS challenges relevant to Canadian cities (indoor/underground signal loss, downtown multipath, highway carrier handoff between cities)

- Basic scripting or config-file comfort (JSON, GPX editing) a strong signal for how quickly they'll adapt to AI-assisted tooling later

Nice-to-Have (Not Required) :

- Prior use of AI-assisted QA tools (test case generators, triage copilots, self-healing test automation)

- Automation scripting experience (Appium, Detox, XCUITest/Espresso) not required for this role today, but a plus for growth into hybrid manual/automation work

- Familiarity with PIPEDA or general data-consent/retention testing considerations for location data (we'll provide specifics; general awareness is the plus)

(ref:hirist.tech)