Senior Manager Quality Engineering

Job Description:

Responsibilities

• Quality Engineering Leadership
• Lead and mentor a team of automation and quality engineers focused on API, integration, and data validation testing.
• Establish and drive enterprise-wide quality engineering standards, automation strategies, and best practices.
• Foster a culture of quality ownership, continuous improvement, innovation, and engineering excellence.
• Partner with Engineering, Product, Architecture, DevOps, and Business stakeholders to align quality initiatives with organizational goals and delivery timelines.
• Provide technical leadership in test strategy, framework design, automation architecture, and quality governance.
• Automation Strategy & Framework Development
• Design, develop, andmaintainscalable, reusable, and resilient automation frameworks for APIs, integrations, and data-driven applications.
• Drive an automation-first testing approach acrossfunctional, integration, regression, and end-to-end testing.
• Define and enforce coding standards, automation best practices, and CI/CD quality gates.
• Evaluate and introduce modern testing tools, frameworks, and AI-assisted automation solutions to improve efficiency and coverage.
• Ensure automated test suites areoptimizedfor reliability, maintainability, scalability, and execution performance.
• API, Integration & Data Validation
• Lead quality assurance efforts for complex enterprise integrations involving multiple upstream and downstream systems.
• Validate data integrity, transformation logic, reconciliation, and consistency across systems such as EASY,Person&Household, Account platforms, and other enterprise applications.
• Perform backend and integration testing across relational and NoSQL databases including PostgreSQL, SQL Server, and DynamoDB.
• Validate event-driven workflows and streaming architectures using Kafka, including message validation, event sequencing, downstream processing, and error handling.
• Develop robust validation mechanisms for high-volume and complex data pipelines.
• DevOps & Continuous Testing
• Collaborate with DevOps and platform engineering teams to integrate automated testing into CI/CD pipelines.
• Drive shift-left and continuous testing practices within Agile andDevSecOpsenvironments.
• Improve test execution efficiency, reporting, monitoring, and quality metrics visibility.
• Support release readiness activities, risk assessments, and production validation strategies.
• Innovation & Performance Engineering
• Champion innovation initiatives including AI/ML-assisted testing, intelligent automation, and advanced quality engineering practices.
• Support performance, scalability, and reliability testing initiatives using tools such as Gatling, JMeter, or LoadRunner.
• Contribute to observability and quality monitoring strategies in cloud-native environments.

Qualification & Experience 

• 10+ years of experience in Quality Engineering, Software Testing, or Test Automation, including3+ years in technical leadership or management roles.
• Strong hands-on experience in automation engineering with deepexpertisein Java and core programming concepts.
• Ability to understand, review, and contribute to production-grade integration and automation code.
• Extensive experience with automation frameworks and tools such as:
• Karate
• Cucumber
• JUnit
• TestNG
• REST Assured or similar API testing frameworks
• Strong experience testing API-centric, integration-heavy, and data-intensive enterprise applications.
• Experience working in AWS cloud environments and cloud-native architectures.
• Hands-on experience with Kafka and event-drivenmicroservicesarchitectures.
• Provenexpertiseinvalidatingcomplex data flows across distributed systems and databases.
• Experience with CI/CD tools and automation execution pipelines such as Jenkins, GitHub Actions, GitLab CI, or similar platforms.
• Strong understanding of Agile, Scrum, and DevOps methodologies.
• Demonstratedexperiencementoring engineers and leading high-performing QA/Quality Engineering teams.
• Excellent analytical, troubleshooting, communication, and stakeholder management skills.
• Preferred Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Engineering, ora relatedtechnical field.
• Familiarity with Docker, Kubernetes, and containerized testing environments.
• Experience with performance and load testing tools such as Gatling, JMeter, or LoadRunner.
• Exposure toobservability, monitoring, and logging platforms.
• Experience implementing AI-assisted testing solutions and modern quality engineering practices.
• Knowledge of enterprise integration patterns and distributed system architectures.