About Tredence:
Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on On-prem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.
We are looking for an experienced candidate who will be responsible for ensuring the quality, reliability, and accuracy of our solutions from a QA standpoint. This role requires strong leadership abilities, deep QA technical expertise, and a passion for staying ahead of emerging technology trends.
Responsibilities:
- Drive quality engineering, improve the quality of our software delivery and streamline test automation with a focus on improving our QA function
- Guiding and developing a team of QA engineers; responsible for the overall quality assurance of technical solutions, performance management and career coaching of QA team members and managing stakeholders
- Improving the QA scorecards to capture all new processes and procedures
- Ensuring timely reporting of QA metrics in a weekly/monthly manner
- Identifying process improvements and learning gaps
- Mentoring employees, monitoring their progress, goals, and removing blockers that prevent them from performing well. Providing guidance and support to agents with their long-term career journey
Requirements:
- Bachelor's degree or higher in an engineering field (e. g. Computer Science, Computer Engineering, etc.) with 7- 10 years of relevant experience in building QA teams
- Proven track record of working as a QA SME and experienced in implementing a range of QA projects in the areas of full stack solutions, Data Engineering and Data Science solutions in an agile environment.
- Expertise in common tools used in SDLC for Requirement Management, Test Case Management, Defect Management, Software Configuration Management, Release Management, Deployment Management, and open-source automation
- Experience with multiple testing techniques for database, API, Performance & web application testing in the Cloud
- Experience with test automation using Typescript, Python
- Experience working in public Cloud environments like Azure/AWS/Snowflake.
- Certifications in Project Management (PMP), Testing (ISTQB), or relevant data technologies would be beneficial
- Testing knowledge of AI technologies, including machine learning, natural language processing, & LLMs
- Experience in testing AI or machine learning models is highly desirable
- Good knowledge and experience working with CI/CD pipeline.
- Experience with playwright Cucumber Framework, Test NG, API testing.
