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 issues
- Test fixes related to customer issues
- Root cause analysis of customer issues
- Build and maintain automated test scripts for REST/API-based data access services
- Maintain and release hot fixes in a dedicated cadence.
- Help with appropriate product documentation
- Test Spark job outputs for correct transformations, aggregations, and schema
- Validate data pipelines end-to-end for completeness, accuracy, and consistency
- Write SQL queries to verify data in databases/data lakes against expected results
- Work with data engineers/PMs to define test scope from pipeline requirements
- Log and track defects (e.g., JIRA) and support root cause analysis
- Debug and analyze logs to identify failure root cause and enable resolution
- Integrate automated tests into CI/CD pipelines
- Maintain deployment pipelines and workloads for QA environments
- Total of more than 7-9 years of experience in QA
- 3-5 years of QA/automation experience
- Selenium and Playwright preferred
- Working knowledge of Python or Java for test scripting
- Exposure 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 validation
- Exposure to CI/CD tools (Jenkins/GitLab CI) and Git
- Strong analytical skills and good communication for cross-functional collaboration
- Good Linux skills - Basic linux and K8s commands
Skills Required
- More than 6 years of total QA experience
- 3-5 years of QA automation experience
- Selenium and Playwright
- Working knowledge of Python or Java for test scripting
- REST API testing experience with Postman, RestAssured, or requests
- Basic understanding of big data concepts and Apache Spark, including DataFrames, jobs, and transformations
- Good SQL skills for data validation
- Exposure to CI/CD tools such as Jenkins or GitLab CI
- Git experience
- Strong analytical skills
- Good communication and cross-functional collaboration skills
- Good Linux skills, including basic Linux and Kubernetes commands
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
