• Help set product direction. • Ship features end to end. • Shape our backend architecture. • Create a stellar developer experience.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Senior Engineer Automation Quality– API & Data Mastering The Senior Engineer Automation Quality– API & Data Mastering will be a hands-on automation resource, responsible for hands-on automation development, API testing, and data validation across distributed systems. This role is ideal for a strong technical contributor who thrives in complex, data-driven environments and is passionate about building scalable automation solutions. This position is part of the Data Initiatives Program for the Integration Hub, requiring strong experience in testing complex data flows across multiple systems, databases, and event-driven architectures. What You Will Do - Design, develop, and maintain scalable automation frameworks for API and data-driven applications. - Implement automation-first testing strategies across backend, integration, and event-driven systems. - Perform comprehensive API, integration, and database validation across multiple systems including EASY, Person & Household, Account, and other upstream/downstream platforms. - Validate data across PostgreSQL, SQL Server, DynamoDB, and related data stores. - Test and validate Kafka-based event flows, ensuring data accuracy, event integrity, and downstream processing consistency. - Develop and maintain automated test suites integrated into CI/CD pipelines. - Collaborate closely with developers, product owners, architects, and DevOps teams to ensure quality is built into the development lifecycle. - Analyze defects, identify root causes, and contribute to improving system reliability and test coverage. - Monitor and report on automation coverage, test results, and quality metrics. - Execute manual, exploratory, or edge-case testing when automation is not sufficient. - Contribute to continuous improvement initiatives, including automation optimization and AI-assisted testing practices. - Support performance testing efforts when required. What You Will Bring - 6–10 years of overall testing experience, including 4–5 years of hands-on automation testing (or equivalent automation-focused experience). - Advanced proficiency in Java with a deep understanding of core concepts. - Ability to read, understand, and contribute to integration and automation test code at a developer level. - Extensive experience with automation frameworks such as Cucumber, Karate, JUnit, and TestNG. - Strong experience testing API-driven and data-intensive backend systems. - Hands-on experience validating complex data flows across multiple systems and databases. - Solid understanding of CI/CD pipelines and automation execution practices. - Strong analytical and problem-solving skills with the ability to independently troubleshoot complex issues. - Clear and effective communication skills, with the ability to collaborate across technical teams. What Will Set You Apart - Bachelor’s degree in Computer Science, Information Technology, or a related field. - Experience with performance testing tools such as Gatling, JMeter, or LoadRunner. - Hands-on experience working in AWS cloud environments. - Knowledge of Kafka and event-driven microservices architectures. - Experience with Docker and Kubernetes. 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.

A little bit about us… Pion is the award-winning platform where audience verification, data ownership, and marketing reach converge. We help 3,500+ brands—including the world’s biggest retailers—build lasting loyalty across 10 consumer groups in 100+ territories. Whether it’s through Student Beans, Beans iD, or our YMS events, we enable growth without compromise. At Pion, you’ll help us build a smarter, more transparent future for global commerce. Life at Pion Where People Thrive At Pion, we’re driven by big ideas and bold thinkers. Our purpose is clear: We make it possible to reward those who shape our world, from Students to Healthcare workers and more. That mission demands diverse perspectives and a culture where everyone belongs. Our people power everything we do from innovation to collaboration. We’re here to break down barriers and build a space where everyone can grow, learn, and thrive—because affordability starts with empowered people. Check out our SHARP values to find out more about our culture. Research shows that while men apply to jobs when they meet 60% of the requirements, women and those in underrepresented groups tend to only apply when they tick every box. We don’t think you should have to tick every box. We value your uniqueness, and it goes without saying that all applications are welcome, even if you don’t think you fit the criteria.  Need any adjustments to support you with your application? Just drop us an email at talent@wearepion.com.

• Understanding web security landscape. • Running model optimization experiments • Suggesting and optimizing data streams, algorithms and approaches used for attack detection and mitigation • Determining practical constraints on the ML processes and heuristics running in Akamai cloud • Assessing and analyze web traffic and attack patterns • Developing software tools to support AI/ML production system monitoring and prediction evaluations.