Associate Director, Quality Engineering

The Team:

As a QualityEngineering Lead, youll be an integral part of our collaborative, agile testing team. Youll work closely with product managers, UI/UX designers, developers and fellow engineers to bring innovative ideas to life and deliver high-quality, bug free software solutions.

We foster an open, inclusive environment where all perspectives are valued. Our team is focused on driving innovation, leveragingcutting-edge AI technologies, and maximizing engineering efficiency. We prioritize clean architecture, real-time performance, and data quality.

What Were Looking For:

• Experienced automation leader who can design and implement comprehensive QA automation strategies that align with business goals and enhance overall product quality. This includes defining and implementing test automation strategy including roadmaps, tools, frameworks, approach, quality metrics, testing methodologies, and driving continuous improvement initiatives.

• Expertise in identifying potential risks in the software development lifecycle and implementing proactive measures to mitigate them, ensuring high-quality outputs and reducing time-to-market.

• Strong experience in collaborating with cross-functional teams to gather requirements and feedback, ensuring that QA strategies are effectively communicated and aligned with stakeholder expectations.

• Ability to establish and monitor key performance indicators (KPIs) for QA processes, using data-driven insights to refine testing strategies and improve team performance.

Core Technical Qualifications:

• Design, develop, and maintain robust test automation frameworks for API, UI, and system integration layers.

• Strong hands-on experience in Java/Java Script programming languages.

• Strong experience in UI automation tools/frameworks (e.g., Selenium, Cypress, Playwright).

• Hands-on experience with API testing tools/frameworks (e.g., Postman, Rest Assured, SoapUI).

• Hands-on experience with MSSQL Server, as well as NoSQL technologies like MongoDB or Cosmos DB.

• Integrate automated tests into CI/CD pipelines, collaborate closely with DevOps teams.

• Leverage IaC tools like Terraform, CloudFormation, or Ansible for test environment provisioning and configuration management.

• Familiarity with modern cloud platforms, particularly AWS or equivalent.

• Demonstrated experience using AI-enhanced development tools (e.g., GitHub Copilot, Replit AI, ChatGPT, Amazon CodeWhisperer or any equivalent) to discover bugs, automate repetitive tasks, and speed up testing cycles.

• Comfortable applying AI/ML concepts (even at a basic level) to optimize workflows and test strategies, perform intelligent data analysis, or support decision-making within the product.

• Familiarity with prompt engineering, LLM-assisted testing, or using AI to automate documentation, code scans, or monitoring.

Education & Experience:

• Bachelors degree in computer science, Software Engineering, or a related field or equivalent practical experience.

• 12-15 years of overall automation testing experience with deep expertise in testing automation frameworks, tools, and modern software testing practices.

Soft Skills:

• Lead QA activities across multiple projects, ensuring timely and high-quality deliveries.

• Strong problem-solving skills with a growth mindset and openness to AI-powered innovation.

• Excellent communication and cross-functional collaboration abilities.

• Capable of managing priorities and meeting deadlines in a fast-paced, continuously evolving environment.

• Collaborate with product managers, developers, and other QA team members to ensure test coverage and quality.

Additional Preferred Qualifications:

• Proven experience in testing large-scale distributed systems in a cloud environment.

• Background in testing Windows-based production systems, network configurations, and server performance in the cloud.

• Strong scripting and automation skills (PowerShell, Bash, Python) bonus if paired with AI-based infrastructure tools.

• AWS certification or similar credentials are a plus.

• Experience explaining technical concepts clearly to both technical and non-technical stakeholders.

• Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage.

We're at the forefront of a technology transformation not only adopting AI-first thinking across our engineering organization but actively building with it. You'll be empowered to push boundaries, embrace automation, and shape the future of full stack development in a hybrid human-AI environment.