Software Test Engineer II

Zebra Technologies•Holtsville, NY

2d•Hybrid

About The Position

We are seeking a highly motivated Software Test Engineer to join our System Test organization. The ideal candidate will be responsible for validating complex enterprise products and solutions through manual and automated testing while leveraging AI-enabled tools and methodologies to improve quality, efficiency, and test coverage. The candidate will collaborate closely with Engineering, Product Management, Quality, and Program teams to develop innovative test strategies, automate validation workflows, analyze product quality trends, and accelerate release readiness. Success in this role requires strong technical problem-solving skills, experience with test automation, data-driven decision making, and the ability to effectively utilize approved AI technologies to enhance productivity, test creation, defect analysis, risk assessment, and overall quality engineering processes. AI-generated outputs must be critically evaluated, validated, and applied in accordance with company policies and responsible AI principles.

Requirements

Bachelors degree in Computer Science, Software Engineering, or a related engineering discipline.
2+ years of software engineering experience focused on system software testing and test automation frameworks.
Strong understanding of software development and testing life cycles, including Agile or Scrum methodologies.
Must be able to work on a hybrid schedule (3 days a week in office minimum)

Nice To Haves

Experience of Programming languages such as Python, Java, C#, JavaScript, or similar
Familiarity with operating systems, algorithms, software development frameworks, version control systems, and CI/CD pipelines
Experience debugging, testing, troubleshooting, and analyzing complex software systems
Strong analytical, technical problem-solving, and data-driven decision-making skills
Familiarity with approved AI-assisted development or testing tools, such as GitHub Copilot, Microsoft Copilot, AI-based test generation tools, or equivalent technologies
Ability to critically assess and validate AI-generated outputs before implementation
Understanding of data privacy, security, intellectual property protection, and responsible AI practices
Excellent teamwork, collaboration, and interpersonal communication skills
Proactively identifies improvement opportunities and contributes to solutions
Ability to work independently while seeking guidance when necessary

Responsibilities

Designs, develops, and executes manual and automated tests for software components and integrated systems, ensuring alignment with project objectives, quality standards, and timelines
Creates and maintains test plans, test cases, automation scripts, traceability records, and documentation detailing software functionality and validation results
Participates in requirements, design, code, and test reviews and provides constructive feedback
Analyzes test results, investigates defects, and conducts root cause analysis to diagnose and resolve complex software and system issues
Recommends and implements solutions to technical and quality challenges, including improvements to functionality, scalability, performance, reliability, and testability
Uses approved AI and GenAI tools to support test planning, test case generation, automation development, defect triage, root cause analysis, and identification of test coverage gaps
Critically evaluates and validates AI-generated artifacts for accuracy, traceability, security, and compliance before use
Uses quality data and AI-assisted analytics to identify product trends, release risks, and areas requiring additional validation
Develops and refines effective prompts and repeatable workflows for approved AI-assisted engineering activities
Collaborates with Engineering, Product Management, Quality, and Program teams to improve validation workflows and release readiness
Proactively identifies opportunities to improve productivity through new tools, automation, AI-enabled methods, and quality engineering practices
Protects intellectual property, customer data, and confidential information and follows company policies and responsible AI principles
Demonstrates sound judgment in determining appropriate actions for software development and testing tasks
Assists less experienced staff with established practices, processes, test methods, and tools
Builds productive working relationships within the team, across organizational units, and with external customers
Occasionally interacts with inter-organizational and external stakeholders to address project needs or resolve issues