About the job
Job Title: Lead Quality Engineer – Automation
About InfoTrust
InfoTrust is a premier global consulting and solutions agency focused on harnessing data to enhance marketing performance and propel business growth. We excel in digital analytics, media enablement, and privacy-centric solutions that empower some of the world's largest brands to refine their marketing strategies. Our organizational culture thrives on passion, ownership, diversity, trust, respect, and continuous improvement, principles that have garnered us numerous accolades as one of the 'best places to work', including a Great Place to Work certification and recognition as the #1 workplace in Ohio.
About the Role
We are on the lookout for a Lead Quality Engineer – Automation who will spearhead and expand our quality engineering initiatives from the ground up. As our inaugural QA/QE hire in India, you will be responsible for defining the automation strategy, establishing best practices, and implementing scalable testing frameworks to ensure the reliability, performance, and integrity of our SaaS solutions.
This is a high-impact and autonomous role where you will not only execute tests but also play a pivotal role in embedding quality within our engineering culture.
If you excel in ownership, enjoy tackling complex technical challenges, and aspire to lay the groundwork for something significant, this position is tailored for you.
What You’ll Do
Develop & Lead Automation Strategy
- Design, develop, and maintain scalable automation frameworks for functional, regression, API, and performance testing.
- Establish QA best practices, standards, and processes across teams.
- Champion an automation-first quality strategy while continuously enhancing test coverage and reliability.
Engineering & Technical Execution
- Create automated test suites utilizing tools such as Selenium, PyTest, Cypress, Playwright, or similar technologies.
- Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
- Conduct API testing using tools like Postman, REST Assured, or comparable frameworks.
- Validate and query data across SQL and NoSQL databases to support test scenarios and troubleshooting.
- Collaborate with engineering teams to ensure quality across microservices and cloud-native architectures (AWS, Azure, or GCP).
Collaboration & Quality Advocacy
- Work closely with Product, Engineering, and DevOps teams to embed quality throughout the Software Development Life Cycle (SDLC).
