Director, SDET

Director - SDET

Salary: Open + Bonus

Location: Chicago, IL or Coppell, TX

Hybrid: 3 days onsite, 2 days remote

*This role is open to H1B transfer*

Qualifications

• BS degree
• 15+ years of IT experience
• 10+ years of experience in Quality Assurance space
• 10+ years in test automation.
• 3+ years working on a large-scale cloud native project.
• Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2
• Proven track record of leading enterprise-scale automation initiatives in complex, distributed environments (microservices, cloud, batch applications, data, MQ, Kafka event driven systems).
• Hands-on experience with service virtualization, synthetic test data management.
• Strong hands-on expertise in testing and test automation tools and frameworks including Jira, BDD, Selenium, Cucumber, REST-assured, JMeter, Playwright.
• Strong programming experience in Java and Python.
• Deep understanding of DevOps, CI/CD pipelines (Jenkins, Harness, GitHub), cloud platforms (AWS, Azure) and containerized environments (Kubernetes, Docker).
• Familiarity with AI/ML/GenAI Solutions in QE.

Responsibilities

• Define and execute the enterprise automation strategy aligned with business and technology modernization goals.
• Drive adoption of automation in all phases of testing including automated regression and smoke tests to improve quality and accelerate testing.
• Implement automated quality gates, pre/post deployment checks and shift-left testing.
• Architect scalable, reusable automation frameworks covering UI, API, microservices, data pipelines, Kafka/event driven systems, batch jobs, reports and databases.
• Define standards for BDD, contract testing, CI/CD integration, synthetic data generation and environment-agnostic test automation.
• Establish tagging and traceability across automation framework, Jira, Confluence, Test management tools, CI/CD pipelines and Splunk.
• Introduce and scale synthetic test data management, environment/service virtualization for complex integration testing.
• Envision and implement AI/ML and Generative AI infused solutions for test case generation, test data generation, automation script generation and quality insights.
• Build quality engineering and automation center of excellence to drive training, reusable asset libraries and knowledge management artifacts.
• Partner with development, product, DevOps and Platform Engineering leaders to embed automation into all stages of SDLC.