Automation Architect

Role Overview:

As a Quality Engineer Automation Architect, you will lead the design, implementation, and enhancement of robust automation frameworks to ensure the highest levels of quality in software delivery. This role demands a comprehensive understanding of quality assurance (QA) methodologies, advanced automation tools, and a collaborative approach to mentoring teams and aligning testing strategies with business goals.

Key Responsibilities:

• Automation Framework Development:
• Design, develop, and maintain scalable, reusable, and robust test automation frameworks.
• Integrate automation solutions with CI/CD pipelines for seamless deployment.
• Testing Strategy and Execution:
• Define comprehensive test strategies, including functional, non-functional, performance, and security testing.
• Collaborate with cross-functional teams to create detailed test plans and scripts for both frontend and backend systems.
• Tool Evaluation and Implementation:
• Evaluate, recommend, and implement modern QA tools and technologies to streamline automation.
• Ensure tool compatibility with various platforms, applications, and environments.
• Team Leadership and Mentoring:
• Guide QA engineers on best practices in test automation and quality engineering.
• Conduct training sessions to upskill team members on advanced testing tools and techniques.
• Collaboration:
• Work closely with developers, product managers, and business stakeholders to align testing processes with business needs.
• Act as the point of contact for all automation-related activities across projects.
• Metrics and Reporting:
• Define and track quality metrics to measure the effectiveness of QA processes.
• Prepare detailed reports on testing outcomes, automation coverage, and defect trends.

Required Skills and Qualifications:

• Educational Background:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Architect to own application of AI in QE from conceptualizing, architecting and development.
• Experience with application of relevant open source AI models in QE.
• Technical Expertise:
• Proficiency in at least one programming language (e.g., Java, Python, C#).
• Hands-on experience with automation tools such as Selenium, Appium, TestNG, JUnit, or similar.
• Strong knowledge of API testing tools like Postman, RestAssured, or SoapUI.
• Familiarity with performance testing tools like JMeter or LoadRunner.
• Expertise in CI/CD tools like Jenkins, GitLab, or Bamboo.
• QA Methodologies:
• Deep understanding of Agile/Scrum methodologies and SDLC principles.
• Experience in testing cloud-based applications and microservices.
• Soft Skills:
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong written and verbal communication.
• Ability to lead and inspire cross-functional teams.

Preferred Qualifications:

• Experience with Behavior-Driven Development (BDD) and tools like Cucumber or SpecFlow.
• Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Certification in software testing (e.g., ISTQB, Certified Software Test Engineer).