The QA Automation function is the ultimate guardian of our platform’s reliability, scalability, and deployment velocity. In a complex, data-heavy ecosystem, manual testing is a bottleneck; continuous, intelligent, and bulletproof automation is the only way forward.
We are looking for a highly technical, hands-on QA Engineer who will focus relentlessly on End-to-End (E2E) test automation and production resilience. You are not a passive test-case writer or a mere script executor; you are a proactive engineer who thrives on breaking complex distributed systems and finding edge cases before our customers do. Your mission is to write robust automated test suites, embed them into our deployment pipelines, and ensure that our platform remains rock-solid and stable in production.
Core Responsibilities:
End-to-End Test Automation: Design, write, and maintain robust automated E2E test suites that mimic real-world enterprise workflows on the Actian Data Intelligence Platform.
Production Resilience Testing: Build automated tests specifically designed to test the platform's stability, load capacity, and recovery under stress or failure conditions.
Pipeline Integration: Embed your automated test suites seamlessly into our CI/CD pipelines (GitHub Actions/Jenkins) to provide developers with rapid feedback on every code change.
API & Data-Integrity Testing: Move beyond basic UI testing by writing deep integration and API automated tests to verify data accuracy across our distributed architecture.
Defect Triage & Regression Fixes: Partner closely with the Sustaining Engineering team to analyze production bugs, quickly writing automated tests to reproduce and permanently block them from returning.
Flakiness Eradication: Treat flaky tests as a critical bug. Actively track, isolate, and rewrite unreliable tests to maintain total confidence in our automation results.
Early Quality Collaboration: Work side-by-side with backend developers and product owners early in the lifecycle to map out automated testing strategies before the code is even written.
AI-Powered Testing Tools: Leverage modern AI assistants and coding tools to generate test data, accelerate script writing, and debug test failures efficiently.
Clean Test Code Architecture: Write clean, modular, and reusable test scripts, conducting peer reviews with fellow QA engineers to keep the test codebase healthy.
Data-Driven Quality Tracking: Monitor feature-level QA metrics like test execution times, code coverage, and pass rates to continuously optimize the testing pipeline.
Required Experience & Profile:
Technical Background: Solid experience as an Automation QA Engineer or SDET (Software Development Engineer in Test) working with complex cloud-native SaaS or distributed data platforms.
Automation Mastery: Deep, hands-on experience with modern automation frameworks (such as Playwright, Cypress, or Selenium) and programming languages like Java, Python, or Go. Strong SQL and API testing skills are a must.
Resilience Mindset: You are passionate about breaking code and finding hidden flaws. You care deeply about how software behaves under pressure in a live production environment.
High-Agency Builder: You don't wait for code to be delivered to think about testing. You anticipate regressions, ask hard technical questions, and actively push for quality from day one.
Infrastructure Familiarity: Basic understanding of cloud infrastructure (AWS, Azure, or GCP), containers (Docker, Kubernetes), and version control (GitHub).
Communication: Exceptional English skills (written and spoken) to describe complex technical bugs clearly and collaborate easily with development teams.
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
Skills Required
- Experience as an Automation QA Engineer or SDET with complex cloud-native SaaS or distributed data platforms
- Deep hands-on experience with automation frameworks (Playwright, Cypress, or Selenium)
- Proficiency in programming languages such as Java, Python, or Go
- Strong SQL and API testing skills
- Experience integrating automated tests into CI/CD pipelines using GitHub Actions or Jenkins
- Experience building production resilience, load/stress, and recovery tests
- Familiarity with cloud infrastructure (AWS, Azure, or GCP), containers (Docker, Kubernetes), and Git/GitHub
- Ability to write clean, modular, reusable test code and perform peer reviews
- Excellent written and spoken English communication skills
- Willingness to leverage AI-powered testing assistants and coding tools to generate test data and accelerate scripting
What We Do
Actian enables some of the most data-Intensive enterprises on earth to run their most mission-critical analytics and data management workloads. Thousands of forward-thinking organizations around the globe like Bloomberg, Intuit, Lufthansa, and Citibank trust Actian to help them solve the toughest data challenges and transform how they run their businesses... with data. Actian is majority owned by HCL Technologies (HCL), a next-generation global technology company that helps enterprises reimagine their businesses for the digital age. HCL serves leading enterprises across key industries, including 250 of the Fortune 500 and 650 of the Global 2000.
