Software QA Lead, SeeChange Technologies

• 5+ years of experience in Software Quality Assurance, with at least 2 years in a Lead or Senior role defining QA strategy
• Demonstrated experience building and maintaining automated testing frameworks using languages like Python, Go and C++
• Expertise with common testing tools and frameworks (e.g. pytest, robot, Selenium, Cypress, LoadRunner, Postman)
• Strong understanding of the software development lifecycle (SDLC) and agile methodologies
• Excellent communication skills with the ability to articulate quality risks and technical issues clearly to both technical and non-technical stakeholders

Desirable

• The Software QA Lead will be the champion for quality at SeeChange This is a hands-on role responsible for designing, implementing, and managing our QA strategy, from unit testing frameworks to user acceptance testing (UAT)
• You will work closely with our Computer Vision Engineers, Software Engineers, Data Scientists, and Product Managers to embed quality into the entire software development lifecycle, ensuring our products are robust, scalable, and meet strict performance requirements
• Establish and lead the entire QA function, defining the overall test strategy, methodology, and processes for our computer vision products
• Select, implement, and maintain appropriate tools and frameworks for test automation, performance testing, and continuous integration/continuous deployment (CI/CD) integration
• Develop and manage quality metrics and reporting to provide clear visibility into product health and release readiness to the leadership team
• Design, write, and execute comprehensive test plans and test cases (both manual and automated) covering functional, performance, security, and regression testing
• Focus on testing the unique aspects of computer vision systems, including data pipeline integrity, model inference performance, robustness to varied data, and accuracy of detection/classification algorithms
• Oversee and manage all phases of testing, including unit, integration, system, and user acceptance testing (UAT)
• Collaborate closely with the Product, Engineering and Data Science teams to review requirements, user stories, and technical specifications to ensure they are testable
• Collaborate closely with the Delivery team to support customer release management to ensure successful deployments and upgrades
• Manage and triage bug reports and defects, working with engineers to prioritize and ensure timely resolution
• Act as a mentor and knowledge resource for engineers on best practices for quality assurance, testability, and writing clean, reliable code
• Contribute actively to the CI/CD pipeline setup to integrate automated testing seamlessly into the development workflow