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The Senior Manager, Quality Engineering – API & Data Platforms is 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 technical expertise in API, data, and event-driven testing with strong leadership capabilities to build scalable quality engineering solutions that support critical business initiatives.
As part of the Data 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.
The Senior Manager, Quality Engineering – API & Data Platforms is 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 technical expertise in API, data, and event-driven testing with strong leadership capabilities to build scalable quality engineering solutions that support critical business initiatives.
As part of the Data 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.
Lead and mentor a team of automation and quality engineers focused on API, integration, and data validation testing.
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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.
Design, develop, and maintain scalable, reusable, and resilient automation frameworks for APIs, integrations, and data-driven applications.
Drive an automation-first testing approach across functional , 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 are optimized for reliability, maintainability, scalability, and execution performance.
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.
Collaborate with DevOps and platform engineering teams to integrate automated testing into CI/CD pipelines.
Drive shift-left and continuous testing practices within Agile and DevSecOps environments.
Improve test execution efficiency, reporting, monitoring, and quality metrics visibility.
Support release readiness activities, risk assessments, and production validation strategies.
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.
Strategic thinker with strong execution capabilities.
Passion for engineering excellence and continuous improvement.
Ability to influence cross-functional teams and drive organizational quality maturity.
Strong coaching, mentoring, and team development skills.
Ability to balance hands-on technical contributions with leadership responsibilities.
Results-driven mindset with strong ownership and accountability.
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.
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Senior · 10+ years experience
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