Staff Development Engineer in Test - Android

Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system Determines the technical tasks that other engineers will follow Actions result in the achievement of customer, operational, program or service objectives Proactively improves existing structures & processes Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems Notices patterns and condenses repetition into densely meaningful generalized solutions Collaborates with management to set/improve standards for engineering rigor AI-Native Android Automation Infrastructure Architect and implement a robust test automation framework for native Android (Espresso or alternative)—prioritizing reliability, maintainability, and deep integration points for AI-powered testing agents. Collaborate with ML engineers and platform peers to co-design execution hooks and test data management systems enabling generative-AI-based test creation, triage, and bug analysis. Instrument test frameworks to capture rich, actionable data and signals, supporting both standard automation and AI-driven agents across the SDLC. Work closely with the Testing Platform Engineer to connect test execution, reporting, and dynamic selection to Harness CI/CD pipelines. Build, maintain, and scale tooling to enable fast, reliable, repeatable Android Functional, Integration, and end-to-end testing at every commit and release. Establish practices and utilities to enable dynamic/AI-based test selection and prioritization as part of continuous testing. Guide and promote best practices to reduce late bug detection, increase confidence in test results while ensuring that results and coverage enable safe releases. Collaborate with iOS SDET and cross-functional teams to align testing and automation strategies across platforms. Enable dynamic, AI-driven test selection, prioritization, and adaptive regression by integrating AI-generated test cases and selection logic into automation infrastructure. Automate non-functional testing including performance benchmarking, memory profiling, and security vulnerability scanning for Android. Develop screenshot/video comparison and log capture systems for fast identification of UI regressions and functional breakages. Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Collaborate with iOS SDET, Testing Platform Engineer, and cross-functional teams to align automation and AI agent integration across mobile platforms. Provide thought leadership and mentorship in automation, best practices, and the transition to AI-native quality engineering. Contribute to documentation, org-wide playbooks, and enablement programs that promote scaling of AI-enabled Android test strategies across teams. Minimum 8 years software engineering experience, focused on building and scaling mobile test automation and developer productivity tooling—at least 2 years in architecting greenfield test infra. Deep expertise in native Android automation frameworks (e.g. Espresso, UI Automator) and hands-on experience with device farm integrations. Strong skills in the design and extension of test frameworks for high signal fidelity and observability. Demonstrated experience partnering with ML/AI engineers or integrating with generative-AI systems (test generation, triage, or analytics). Proficiency in CI/CD tooling (preferably Harness), including designing and supporting automated pipelines for test execution and release gating. Track record of technical leadership at staff level: solving cross-functional problems, mentoring engineers, and influencing org-level testing practices.