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Jobs via Dice • Coppell, Texas, United States
Role & seniority: Director of Automation and SDET (10+ years in QA, 15+ years IT; people management responsibilities; leadership of an automation/QA function)
Stack/tools: Jira, Confluence, Cucumber/BDD, Selenium, REST-assured, JMeter, Playwright; Java, Python; CI/CD (Jenkins, Harness, GitHub); cloud (AWS, Azure); containerization (Kubernetes, Docker); service virtualization; Kafka/event-driven systems; synthetic data management; AI/GenAI in QE
Define and execute enterprise automation strategy and governance aligned with modernization goals
Drive adoption of automation across all testing phases; implement shift-left, regression, and pre/post deployment checks
Architect scalable automation frameworks (UI, API, microservices, data pipelines, Kafka, batch, reports) and establish standards, KPIs/OKRs, and a quality engineering center of excellence
15+ years IT; 10+ years in test automation; proven enterprise automation leadership
Hands-on with QA tools/frameworks (Jira, Selenium/Cucumber, REST-assured, JMeter, Playwright)
Java and Python programming; strong DevOps/CI-CD, cloud (AWS/Azure), Kubernetes/Docker
Experience with Kafka/event-driven tests, large data validations; metrics-driven quality reporting
Stakeholder collaboration, strong communication, multi-priority management
AI/ML/GenAI in QE (test case/data/script generation, quality insights)
Synthetic data managemen
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Request Technology, LLC, is seeking the following. Apply via Dice today!
Position is bonus eligible
Prestigious Financial Institution is currently seeking a Director of Automation and SDET with AI/ML experience. Candidate will be responsible for defining, driving and scaling enterprise-wide test automation, quality engineering practices. This role will architect and implement advanced automation solutions across applications, data and platforms, enable adoption of best practices, and establish the governance, metrics and tools. The role combines technical expertise with strong leadership and stakeholder collaboration skills to deliver next generation automation infusing AI capabilities.
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.
Define, monitor and report KPIs/OKRs for automation outcomes to executives and product owners.
Drive compliance with industry standards, regulatory requirements, and audit readiness across automation and QE practices.
Manages a team of people managers, individual contributors, and consultants/contractors
Minimum ten (15) years of IT experience with ten (10)+ years in test automation.
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).
Experience with Kafka/event-driven testing, large data set validations
Experience with Agile development processes for enterprise software solutions
Strong background in metrics-driven quality reporting and risk-based decision making.
Strong organizational leadership skills
Ability to manage multiple, competing priorities and make decisions quickly
Knowledgeable about industry trends, best practices, and change management
Strong communication skills with the ability to communicate and interact with a variety of internal/external customers, coworkers, and Executive Management
Strong work ethic, hands-on, detail oriented with a customer service mentality
Team player, self-driven, motivated, and able to work under pressure
Results-oriented and demonstrated record of developing initiatives that impact productivity
Proficiency with modern quality engineering tools including Jira, Jenkins, automation frameworks, test management tools.
Software QA methodologies (requirements analysis, test planning, functional testing, usability testing, performance testing, etc.)
Familiarity with AI/ML/GenAI Solutions in QE.
Utilizing best practices in software engineering, software test automation, test management tools, and defect tracking software
Past/Current experience of 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
BS degree in Computer Science or Information Systems Management or a similar technical field
10+ years of experience in Quality Assurance space preferably on complex systems and large programs.