Posted:12 hours ago
Tag Implementation Engineer
Implement the outstanding analytics events on web, iOS and Android inside the client's squads, validate them against the schema, and produce per-touchpoint readiness evidence so Adobe can be switched off before contract expiry.
Experience: 4-8 years, in the relevant platform, with analytics tracking in production.
Must-have • iOS developer:o Swift (Objective-C a plus), UIKit and SwiftUI, Xcode, XCTest, Swift Package Manager or CocoaPodso Integrated at least one analytics SDK in a production app: Amplitude iOS SDK, Adobe Experience Platform Mobile SDK or legacy Adobe Mobile SDK, Firebaseo Screen, lifecycle and deep-link event handling; background and app-state edge caseso App Tracking Transparency and consent-driven tracking• Android developer:o Kotlin (Java a plus), Jetpack Compose and Views, Gradle, JUnit and Espressoo Integrated at least one analytics SDK in a production app: Amplitude Android SDK, Adobe Experience Platform Mobile SDK or Adobe Mobile SDK, Firebaseo Activity/fragment lifecycle, configuration changes, backgrounding and process death without losing or duplicating eventso Consent handling and device identifiers• Web / data-layer developer:o JavaScript and TypeScript, a modern framework (React or similar), single-page-app route and virtual page-view handlingo Data-layer design and implementation (W3C or custom); Adobe Launch, Tealium, GTM or Segmento Amplitude Browser SDK and Adobe AppMeasurement or Web SDK; moving a data layer from an Adobe-shaped model to a vendor-neutral schemao Consent management platforms and tag firing rules• Validation and exit-readiness engineer:o Network-level inspection with Charles or Proxyman, browser dev tools, Adobe Assurance or Debugger, Amplitude Ingestion Debuggero Test cases written from event schemas, defect logging in Jira, regression checks each releaseo SQL to compare event volumes, nulls, duplicates and property completeness between legacy and new tables (Databricks/Spark a plus)o Building per-touchpoint readiness evidence: spec coverage, parity results, open defects and sign-off• Common to all:o Implementing to a written tracking spec and typed event wrappers, and flagging spec gaps rather than guessingo Running two analytics tools in parallel without double-countingo Working inside a client codebase and squad: pull requests, code review, CI, release trains and sprint ceremonieso Documenting what shipped, per touchpoint and release
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Full Time
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