Staff Mobile Engineer - Session Replay | US | Remote

Grafana Labs is seeking a Staff Mobile Engineer to work on Mobile Session Replay, a feature that allows teams to see what users actually experienced in their iOS, Android, Flutter, and React Native apps.

As a Staff Mobile Engineer, you will be the technical lead for mobile capture and replay, working across the device, the ingest path, and the player.

Responsibilities:

• Own the on-device replay library end to end, starting with Android and extending to iOS.
• Design masking and consent controls to ensure sensitive data never leaves the device.
• Keep overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use, and disk.
• Build the integration layer so customers do not copy demo glue code.
• Work across the stack with Frontend and Mobile Observability teams on the capture, upload, and storage pipeline.
• Define quality and compatibility, including automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths.
• Engage directly with customers to gather structured feedback and help teams instrument and adopt Mobile Session Replay.
• Mentor engineers and help grow technical leadership in the team.

Technologies:

• Kotlin (primary, Android-first) and Swift (iOS)
• Android media and graphics APIs
• Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs
• Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI)
• OLAP Database / Object storage (S3)
• Kafka/Warpstream
• Grafana ecosystem (Mimir, Loki, Tempo, etc.)

Requirements:

• Comfortable working in a remote-first, globally distributed company
• Collaborative, friendly, kind, and respectful
• Deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C)
• Built or maintained mobile SDKs or platform libraries used by external developers
• Worked on performance-sensitive code
• Comfortable with media and rendering pipelines on mobile
• Comfortable owning a product from 0 to 1 in ambiguous problem spaces
• User-centered approach
• Thoughtful about privacy and security on user devices
• Uses AI tools as a natural part of engineering workflow

Salary: $189,374 - $227,249 USD