WHY THIS IS A ONCE-IN-A-CAREER OPPORTUNITY
- Lead in a market undergoing significant disruption and growth from cloud migration to edge intelligence to AI-powered industrial automation.
- Join a culture defined by ambition, authenticity, speed, teamwork, and the belief that manufacturing can meaningfully improve the world.
- Competitive benefits, compensation and long-term impact on how the world’s industrial companies operate, automate, and innovate.
ROLE SUMMARY
We are seeking a highly skilled and motivated Senior Quality Assurance Engineer to lead our quality initiatives and ensure the delivery of high-performing, reliable software. As a key member of our engineering team, you will not only design and execute complex testing strategies but also act as a mentor, process advocate, and architectural advisor. You will be instrumental in evolving our automated testing frameworks and fostering a "quality-first" culture across the entire development lifecycle.
KEY RESPONSIBILITIES
1. Strategy and Test Architecture
- Test Planning: Designing comprehensive test strategies for complex features, ensuring full coverage across unit, integration, system, and regression testing.
- Automation Framework Development: Designing and maintaining robust automation frameworks from scratch, selecting the right tools (e.g., Playwright, FlaUI, Protractor, RestAssured, Selenium, Playwright etc) that align with the company’s tech stack.
- CI/CD Integration: Working on the DevOps tasks to integrate automated testing into the Continuous Integration/Continuous Deployment pipelines to ensure "quality at speed."
- Test lab management: Upkeep of all the test environments (on premise and cloud). Managing the security patching on the test deployments.
2. Technical Execution
- Risk Analysis: Performing deep-dive risk assessments to identify which parts of the application are most prone to failure and prioritizing testing efforts accordingly.
- Performance and Security Testing: Moving beyond functional testing to oversee or perform non-functional testing, including load testing, stress testing, and basic security vulnerability assessment.
- Root Cause Analysis: Investigating complex production issues to understand why bugs escaped the testing cycle and implementing safeguards to prevent recurrence.
3. Leadership and Mentorship
- Mentoring: Coaching junior engineers on best practices, code quality, and testing methodologies.
- Process Improvement: Identifying bottlenecks in the software development lifecycle (SDLC) and proposing process improvements (such as shifting left - testing earlier in the development cycle).
- Advocacy: Acting as a "Quality Champion" within the organization, promoting a culture where quality is a shared responsibility among developers, product managers, and designers.
4. Collaboration and Communication
- Requirement Analysis: Participating in design and architecture meetings early in the process to identify logical flaws or edge cases before code is even written.
- Stakeholder Reporting: Translating technical quality metrics (e.g., defect density, test coverage, pass/fail rates) into actionable insights for product managers and stakeholders.
REQUIRED QUALIFICATIONS
- Programming Skills: Proficiency in at least one object-oriented language (e.g., Python, JavaScript/TypeScript) to build and maintain complex automation frameworks.
- Automation Frameworks: Expertise in industry-standard tools. Experience developing automated tests for Windows based applications is highly preferred.
- Web: Selenium, Playwright, or FlaUI.
- API: Postman, REST Assured, or PyTest.
- CI/CD Knowledge: Practical experience with pipelines (e.g., Jenkins, GitHub Actions, GitLab CI).
- Infrastructure & Cloud: Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) to simulate production-like testing environments.
- Metrics-Driven Mindset: Experience defining and tracking KPIs such as Mean Time to Detect (MTTD), Mean Time to Resolve (MTTR), and defect leakage rates to demonstrate the ROI of the QA team.
- Agile/Scrum Experience: Strong background working in iterative environments, including participation in sprint planning, grooming, and retrospectives.
- Industrial Automation Domain: Experience with SCADA (Supervisory Control and Data Acquisition) application and PLC devices REQUIRED.
Education & Experience
• Bachelor’s degree in computer science or in “STEM” Majors (Science, Technology, Engineering and Math)
• A minimum of 6 years of professional experience
WORK ENVIRONMENT
• Hybrid
• No travel needs.
