Lead QA Engineer
Qualys · Pune Division
- Experience7–9 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted29 Sept 2026
About Qualys
Qualys is hiring in Pune Division in technology software. This role looks for around 7+ years of experience.
Skills
- QA automation
- REST API testing
- Apache Spark
- SQL
- Python
- Java
- CI/CD
- Git
- Linux
- Kubernetes
The role
A QA automation engineer at a software product company builds and maintains REST API testing and Apache Spark validation for data pipelines, and applies Python and SQL. Selenium and Playwright support automated test scripting and CI/CD quality workflows.
Full job description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We are looking for an QA Automation Engineer to join our Big Data Platform team. You will build and maintain automated tests for API-based data access and Spark data processing jobs, working with data engineers to ensure our data pipelines are accurate, reliable, and performant.
Responsibilities
Debugging - Debug and resolve customer issuesTest fixes related to customer issuesRoot cause analysis of customer issuesBuild and maintain automated test scripts for REST/API-based data access servicesMaintain and release hot fixes in a dedicated cadence. Help with appropriate product documentationTest Spark job outputs for correct transformations, aggregations, and schemaValidate data pipelines end-to-end for completeness, accuracy, and consistencyWrite SQL queries to verify data in databases/data lakes against expected resultsWork with data engineers/PMs to define test scope from pipeline requirementsLog and track defects (e.g., JIRA) and support root cause analysisDebug and analyze logs to identify failure root cause and enable resolutionIntegrate automated tests into CI/CD pipelinesMaintain deployment pipelines and workloads for QA environments
Qualifications
Total of more than 7-9 years of experience in QA3-5 years of QA/automation experienceSelenium and Playwright preferredWorking knowledge of Python or Java for test scriptingExposure to REST API testing (Postman, RestAssured, or requests)Basic understanding of big data concepts and Apache Spark (DataFrames, jobs, transformations)Good SQL skills for data validationExposure to CI/CD tools (Jenkins/GitLab CI) and GitStrong analytical skills and good communication for cross-functional collaborationGood Linux skills - Basic linux and K8s commands