About The Role

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

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.

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.

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.