Device Engineer

SGS•Bellevue, WA

2d•$115,000 - $120,000•Onsite

About The Position

General Description: Responsible for testing Android applications to ensure quality, performance, usability, lab conformance, and providing customer-facing lab support. Executes manual and automated tests, validates compliance with lab standards, identifies defects, and collaborates with developers to resolve issues across devices and OS versions. - Starting compensation is based on experience. - No H1 Sponsorship. - Must Already be in Bellevue, WA or willing to relocate at own cost

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
3+ years of experience in Android application testing or mobile QA.
Strong understanding of Android OS, device fragmentation, and application lifecycle.
Experience with automation tools (e.g., Appium, Espresso) and debugging tools (ADB, Logcat).
Familiarity with defect tracking systems (e.g., Jira) and Agile methodologies.
Strong troubleshooting, communication, and customer-facing skills.
Experience in testing Android applications to ensure quality, performance, usability, lab conformance, and providing customer-facing lab support. Executes manual and automated tests, validates compliance with lab standards, identifies defects, and collaborates with developers to resolve issues across devices and OS versions.: 3+ years (Preferred)
Bachelor of Science in related engineering major (EE, CE, etc.)
Bellevue, WA: Reliably commute or planning to relocate before starting work (Required)

Responsibilities

Ensure applications meet internal lab conformance standards and certification requirements.
Perform regression, integration, system, and acceptance testing.
Identify, document, and track defects; verify fixes and support root cause analysis.
Set up, configure, and maintain lab devices and test environments.
Provide customer-facing lab support, including issue replication, troubleshooting, and test result reporting.
Collaborate closely with developers, product managers, and stakeholders to clarify requirements and resolve issues.
Support continuous improvement of QA processes, automation frameworks, and lab best practices.