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Senior SDET

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Senior SDET in Others new

  • Bengaluru, India

Responsibilities

  • Own and evolve end-to-end mobile test strategy for iOS and Android, covering offline and poor-network conditions, lifecycle transitions, audio, permissions, gestures, and device fragmentation.
  • Architect and maintain Appium-based mobile automation frameworks across real-device and cloud-device grids.
  • Drive mobile performance, battery, memory, stress, and release-readiness testing and investigate complex cross-platform issues to root cause.
  • Extend automation across web surfaces, APIs, services, event-driven flows, and dependent microservices.
  • Implement API and service-level automation for gRPC and GraphQL services, including bidirectional streaming and protocol buffers.
  • Contribute to backend performance and load testing using K6, Locust, or similar tools.
  • Integrate test suites into CI/CD, improve reporting and flake management, and lead framework design, code review, documentation, and technical-debt prioritization.
  • Break down test engineering work, mentor early-career engineers, participate in SDET hiring, and prioritize cross-team automation initiatives.
  • Lead initiatives applying LLMs and agentic AI to test generation, triage, self-healing locators, and coverage analysis.

Requirements

  • 7+ years of SDET or equivalent experience, including substantial mobile test automation and QA process ownership.
  • Deep expertise with mobile automation, real-device and cloud-device execution, and mobile debugging tools including Xcode Instruments, Android Studio profilers, Charles Proxy, and Firebase.
  • Working knowledge of Swift, Kotlin, and Java in an automation context.
  • Experience owning web UI automation with Playwright, Selenium, or similar tools and service-level automation against gRPC or GraphQL APIs.
  • Proficiency in at least one object-oriented language, preferably Java, and comfort with Python for scripting and data validation.
  • Understanding of microservices, cloud platforms, containers, and CI/CD systems such as Buildkite or Jenkins.
  • Track record of mentoring engineers and leading automation projects to completion.
  • BA/BS in Computer Science, Information Science, AI/ML, or a related engineering field; an MS or PhD is a plus.
  • Preferred qualifications include AI/ML quality engineering, model and pipeline validation, ASR or NLP evaluation, model-to-model validation, agentic AI tooling, accessibility and localization testing, and startup experience.

Suki

Suki delivers ambient clinical intelligence that powers documentation, revenue cycle, and clinical reasoning. By reducing administrative burden, improving coding accuracy, and surfacing critical insights at the point of care, Suki helps clinicians focus on what matters most: their patients. Named...

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