Lead SDET

TEKsystems•Fort Mill, SC

7h•$60 - $70•Hybrid

About The Position

We are seeking a highly skilled and experienced Lead SDET to join our team. The ideal candidate will have a strong background in test automation, quality engineering practices, and hands-on experience with AI/ML technologies. This role requires a proactive mindset, strong problem-solving skills, and the ability to drive quality across complex systems and domains.

Requirements

Master’s or bachelor’s degree in Computer Science or a related field, with a strong foundation in software engineering principles and AI/ML fundamentals.
Minimum of 6+ years of hands-on experience in SDLC and test automation, with advanced concurrent programming skills in Java, Python, TypeScript, and JavaScript.
Minimum of 4 years of experience in API testing (SOAP and REST/Microservices), for contract validation and anomaly detection.
Strong experience with UI and Backend services test automation frameworks, including Playwright , Cypress, Selenium, Appium.
Proven experience with CI/CD pipelines for test impact analysis, release risk prediction, and automated quality gates.
Proficient in Agile tools like Jira for sprint planning, backlog grooming, and defect prediction.
Skilled in defect and test management tools, with a preference for platforms that support prioritization and root cause analysis.
Strong SQL expertise, capable of writing complex queries for data validation, anomaly detection, and test data generation.
Experience developing test strategies for vendor integrations including simulating third-party behavior and monitoring integration health.
Hands-on experience with AWS services (e.g., EC2, S3, Lambda, CloudWatch) for test environments, automation pipelines, and cloud-based testing strategies.
Deep understanding of Agile/Scrum methodologies, with a focus on continuous quality improvement.
Demonstrated ability to thrive in fast-paced environments, enhancing productivity, reducing manual effort, and accelerating decision-making.
Strong debugging skills, with experience using observability and log analysis tools.
Self-motivated with a positive attitude, capable of independently driving AI innovation in quality engineering.
Experience leveraging open-source libraries and AI frameworks to improve test efficiency and scalability.
Excellent communication skills, with the ability to articulate AI-driven quality strategies to both technical and non-technical stakeholders.

Responsibilities

Collaborate with product, engineering, and cross-functional domain teams to understand features, develop and automate test cases, and drive continuous improvement in product quality and release velocity.
Apply diverse software testing methodologies—including AI-driven test generation and predictive analytics—to ensure robust and scalable software delivery.
Coordinate and lead end-to-end (E2E) testing efforts across domains, leveraging AI tools for test orchestration, anomaly detection, and intelligent defect triaging.
Identify manual processes and implement intelligent automation solutions to optimize testing efficiency and reduce cycle time.
Participate in code reviews, advocating for clean code principles and static analysis tools to enhance code quality and maintainability.
Analyze test results to detect patterns, predict defect-prone areas, and proactively improve test strategies.
Document and track bugs to closure and root cause analysis to streamline defect management.
Operate within Agile/Scrum frameworks, sprint planning, test impact analysis, and continuous feedback loops.