Job Description: Automation Quality Engineer

Location: Cupertino, CA (Onsite)

Employment Type: Full-Time Contract (W2)

Hourly Rate $45-$52/hr

Interview Process 3 interviews

About the Opportunity

Join a Fortune 500 global leader in professional services as a high-level technical consultant embedded within an iconic consumer electronics giant. This role is situated at the intersection of traditional software quality and cutting-edge Machine Learning. You will be a key player in a specialized Dataset Triage team, ensuring the reliability of world-class platforms that define the modern personal technology experience.

Key Responsibilities

Advanced Automation & Integration: Design, enhance, and maintain sophisticated automated test suites that validate both core code and Machine Learning (ML) models.
CI/CD Pipeline Management: Own and maintain Test Automation pipelines; triage complex failures and implement durable fixes to ensure seamless delivery.
Test Design & Execution: Lead software integration testing efforts, designing new automation frameworks to scale with evolving project needs.
Issue Leadership: Proactively identify, escalate, and drive key quality issues to resolution, acting as a bridge between technical bugs and product health.
Global Collaboration: Partner closely with engineering teams across different geographical regions to synchronize quality standards and project milestones.

Required Qualifications

Experience: Minimum of 5+ years of professional experience in Software Development in Test (SDET) or Software Quality Engineering.
Expert Programming: Expert-level proficiency in Python, Swift, or Java for automation development.
DevOps/CI/CD: Strong familiarity with CI/CD pipelines. Preference for candidates experienced with TeamCity and using Kotlin for pipeline creation/modification.
Communication: Excellent written and verbal English communication skills, with the ability to lead discussions with cross-functional stakeholders.
Independence: Proven ability to independently drive large-scale tasks and projects from inception to completion.
Education: BS/MS in Computer Science or a related technical field.

Preferred Skills & "Plus" Factors

Machine Learning & AI: Experience testing ML models, familiarity with AI tooling, or a background in how data impacts model performance.
Backend & Systems: Experience with server-side automation, testing backend services at the API or protocol level, and navigating multi-tiered client-server environments.
Platform Expertise: Familiarity with macOS/iOS ecosystems and related debugging or profiling tools.
Version Control: Deep experience with Git and modern source code management solutions.
Domain Interest: Previous experience working with Virtual Assistants or Large Language Models (LLMs) is a significant advantage.
Mindset: A curious, proactive troubleshooter who thrives in a fast-paced, exploratory environment.

Please apply online for consideration

MarkJames 🌍

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