Senior Quality Assurance Engineer; Onsite​/Hybrid

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.

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.

• 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, Rest Assured, Selenium, Playwright etc) that align with the company's tech stack.
  • CI/CD Integration:
    Working on the Dev Ops 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.

• Programming
  
  Skills:
  
  Proficiency in at least one object-oriented language (e.g., Python, JavaScript/Type Script) 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, Git Hub Actions, Git Lab 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.

• - Bachelor's degree in computer science or in  STEM  Majors (Science, Technology, Engineering and Math)
• - A minimum of 6 years of professional experience

• - Hybrid
• - No travel needs.