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Senior Manager, Quality Engineering – API & Data Platforms
TheSenior Manager, Quality Engineering – API & Data Platformsis a strategic and hands-on quality engineering leader responsible for driving automation excellence, data validation strategies, and enterprise-quality practices across complex integration ecosystems. This role combines deep technicalexpertisein API, data, and event-driven testing with strong leadership capabilities to build scalable quality engineering solutions that support critical business initiatives.
As part of theData Initiatives Program for the Integration Hub, this leader will oversee the design and implementation of modern automation frameworks, lead a high-performing team of quality engineers, and champion continuous quality improvements across distributed systems, APIs, databases, and streaming platforms. The ideal candidate brings strong technical depth, leadership maturity, and a passion for innovation in automation, observability, and AI-assisted testing.
Quality Engineering Leadership
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.
Ensure automated test suites areoptimizedfor reliability, maintainability, scalability, and execution performance.
API, Integration & Data Validation
Validate data integrity, transformation logic, reconciliation, and consistency across systems such as EASY,Person&Household, Account platforms, and other enterprise applications.
Validate event-driven workflows and streaming architectures using Kafka, including message validation, event sequencing, downstream processing, and error handling.
DevOps & Continuous Testing
Innovation & Performance Engineering
Support performance, scalability, and reliability testing initiatives using tools such as Gatling, JMeter, or LoadRunner.
10+ years of experience in Quality Engineering, Software Testing, or Test Automation, including3+ years in technical leadership or management roles.
Experience with CI/CD tools and automation execution pipelines such as Jenkins, GitHub Actions, GitLab CI, or similar platforms.
Bachelor’s degree in Computer Science, Information Technology, Engineering, ora relatedtechnical field.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
