Senior Quality Assurance Engineer

We are seeking a highly skilled Senior QA Tester / Software Engineer who will lead quality assurance

initiatives across modern web, mobile, cloud, and API-driven applications. The ideal candidate has strong

experience in both manual and automated testing, understands modern software development practices,

and can collaborate closely with developers, product managers, DevOps engineers, and stakeholders to

ensure scalable, secure, and high-performing software releases.

This role is expected to contribute strategically to test architecture, automation frameworks, CI/CD

integration, performance validation, and quality governance within Agile and DevSecOps environments.

Key Responsibilities

Quality Assurance & Testing

• Design, develop, and execute comprehensive test plans, test cases, and test scripts for web,
  
  

mobile, API, and cloud-native applications.

• Perform functional, regression, integration, smoke, exploratory, usability, and end-to-end testing
• Build and maintain scalable automated testing frameworks for frontend, backend, and APIs
• Validate system integrations across microservices and distributed systems
• Conduct cross-browser, cross-platform, and responsive testing
  
  

Automation Engineering

• Develop automation scripts using modern testing tools and frameworks
• Integrate automated testing into CI/CD pipelines
• Improve automation coverage and reduce manual regression effort
• Maintain test environments, test data strategies, and automation reporting dashboards
  
  

Performance & Security Testing

• Conduct load, stress, and performance testing for cloud-based systems
• Identify bottlenecks, latency issues, and system vulnerabilities
• Collaborate with security teams for secure SDLC and vulnerability validation
  
  

Agile & DevOps Collaboration

• Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and
  
  

backlog grooming.

• Work closely with software engineers, DevOps, UI/UX, and product teams to ensure quality
  
  

throughout the SDLC.

• Support release validation, production deployment verification, and incident triage
  
  

Required Qualifications

Education

related field.

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or
  
  

Experience

• 5 years of experience in Software QA Engineering or Test Automation
• Strong experience testing enterprise web and cloud applications
• Experience working in Agile/Scrum and DevOps environments
  
  

Technical Skills

Programming & Scripting

Strong proficiency in one or more of the following:

• JavaScript / TypeScript
• Python
• Java
• C#
• SQL
  
  

Automation Frameworks & Tools

Experience with:

• Playwright
• Cypress
• Selenium WebDriver
• Appium
• Postman
• REST Assured
  
  

API & Backend Testing

• REST API testing
• GraphQL testing
• Microservices validation
• Contract testing
  
  

Cloud & DevOps

Familiarity with:

• AWS, Azure, or Google Cloud Platform
• Docker & Kubernetes
• GitHub Actions, GitLab CI/CD, or Jenkins
• Terraform or Infrastructure-as-Code concepts
  
  

Test Management & Collaboration

• Jira
• TestRail / Zephyr
• Confluence
• Git-based workflows
  
  

Performance & Security Tools

Exposure to:

• JMeter / k6
• OWASP testing principles
• SonarQube
• SAST/DAST concepts
  
  

Preferred Qualifications

• ISTQB Certification or equivalent QA certification
• Experience with AI-assisted testing platforms
• Experience testing SaaS, healthcare, fintech, or enterprise systems
• Knowledge of HIPAA, SOC2, GDPR, or regulated environments is an advantage
• Exposure to AI/ML testing methodologies is a plus
  
  

Core Competencies

• Strong analytical and problem-solving skills
• Excellent attention to detail
• Effective communication and stakeholder management
• Leadership and mentoring capability
• Ability to thrive in fast-paced Agile environments
• Strong ownership mindset and commitment to software quality
  
  

Nice-to-Have Modern Stack Exposure

• React / Next.js applications
• Node.js backend systems
• Kafka or event-driven architectures
• AI-integrated applications
• Observability tools such as Datadog, Grafana, or New Relic
• Mobile testing for iOS and Android platforms
  
  

Success Metrics

• Increased automation coverage
• Reduced defect leakage into production
• Faster regression cycles
• Improved release stability
• Enhanced QA process maturity and documentation standards
  
  

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