SUMMARY

Posted: Feb 26, 2025
Weekly Hours: 40
Role Number:200591096
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. The OpsSWE Quality AssuranceTeam is a part of the Operations Engineering team and is responsible for ensuring the next generation of Apple products can be delivered in a way that continues to delight our customers.

DESCRIPTION

The OpsSWE Team is seeking a highly motivated individual with a background in Systems Test and Test Automation. In this position, the Systems Test Engineer will be responsible for testing software solutions and architected and developing end to end test automation. Architect, develop, and maintain automated test frameworks for validating hardware and software features for factory testing environments. Design test plans, strategies, and methodologies for software validation in factory fixtures and production lines. Develop and enhance test automation frameworks to improve efficiency, reliability, and scalability of system validation. Modify and execute tests to validate hardware and software interactions in manufacturing test environments. Collaborate with Electrical, Mechanical, and Software Engineers to debug and resolve device validation issues in production. Ensure traceability, reproducibility, and reliability of test results through structured reporting and analysis. Improve and maintain CI/CD pipelines to streamline test execution, reporting, and release management. Work closely with operations, engineering, and senior management to deliver data-driven quality assurance insights. Enhance build and release systems to improve software deployment efficiency in factory test environments. Evaluate and integrate AI/ML-driven quality assurance methodologies where applicable.

MINIMUM QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 5+ years of experience in Software Quality Assurance (SQA) & Automation Testing, ideally within factory software validation, embedded systems, or production environments.
• Strong proficiency in Python and Swift for test automation development.
• Experience with test automation frameworks (e.g., Selenium, Appium, Cypress, TestNG, XCTest).
• Expertise in CI/CD tools (e.g., Jenkins, GitLab CI, Docker, Kubernetes).
• Hands-on experience with networking and operating system concepts.
• Strong understanding of API testing (REST/SOAP, JSON, XML) and database validation (Postgres, Snowflake).
• Experience in performance testing (JMeter, Locust) and system-level debugging.
• Excellent analytical, problem-solving, and debugging skills.
• Meticulous, analytical, methodical, and creative problem-solving ability with a commitment to driving quality forward.
• Ability to triage problems, prioritize tasks, and report findings clearly.
• Understanding of networking and operating system concepts is required.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Applied knowledge with at least one test automation framework (e.g., Selenium, Appium, Cypress, TestNG)
• Meticulous, analytical, methodical, and creative problem-solving ability with a commitment to driving quality forward.
• Strong presentation skills for effectively communicating with senior and executive leadership combined with strong leadership abilities.

PREFERRED QUALIFICATIONS

• Experience working in factory test environments or production validation for hardware/software testing.
• Hands-on experience with XCTest framework for iOS testing.
• Applied knowledge of machine learning, deep learning, natural language processing, and generative AI for QA automation.
• Familiarity with edge computing, IoT, and sensor data processing in production environments.This role may require up to 25% travel, including international trips to manufacturing sites and engineering teams.

Please refer the Job description for details