Description
Mastercard's Business Experimentation and Optimization (BE&O) teams within the Services organization is seeking a technically strong Software Engineer II to help design, build, and evolve a next-generation experimentation platform that enables organizations around the world to make smarter, data-driven decisions.
In this role, you will contribute across the full software development lifecycle, from architecture and system design through implementation, testing, and continuous improvement. You will build scalable, cloud-native applications, APIs, and data-processing capabilities using technologies such as Java, Spring Boot, TypeScript, React, Databricks, and Spark, with cloud platforms including AWS and Azure.
The Business Experimentation and Optimization (BE&O) is building industry-leading software that empowers business users around the world to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients.
Responsibilities:
- Design, develop, and maintain scalable full-stack applications across frontend, backend, API, and data-processing layers using technologies such as Java/Spring Boot, TypeScript, and React.
- Build and enhance scalable services and APIs that support experimentation, analytics, and data-driven decision-making.
- Develop and optimize data-intensive applications using Databricks, Spark, and related technologies to process, transform, and serve large-scale datasets efficiently.
- Contribute to architecture and system design, evaluating technical tradeoffs and helping deliver solutions that are scalable, reliable, secure, and maintainable.
- Build innovative software products that help global businesses generate insights, test ideas, and make better decisions through experimentation.
- Translate business and product requirements into well-designed technical solutions in partnership with Product, Data Engineering, QA, and other stakeholders.
- Write clean, maintainable, and efficient code while applying strong engineering practices across development, testing, code reviews, and deployment.
- Identify and resolve performance, scalability, and reliability challenges across applications, APIs, services, and data-processing workloads.
- Participate in the full development lifecycle, from technical discovery and design through implementation, testing, production support, and continuous improvement.
- Contribute to a culture of engineering excellence by sharing knowledge, supporting teammates, and helping improve development practices and developer productivity.
- Stay current with emerging technologies and engineering practices, identifying opportunities to improve the platform’s capabilities, scalability, and overall quality.
Requirements:
- Experience as a Software Engineer building and supporting full-stack applications in a modern software development environment.
- Hands-on experience with Java and Spring Boot, including developing backend services, APIs, and application components.
- Experience with modern frontend technologies such as TypeScript and React.
- Experience or familiarity with Databricks, Apache Spark, or PySpark, particularly for data processing, analytics, or data-intensive applications, is highly desirable.
- Strong foundation in object-oriented programming, API development, software design, and engineering best practices.
- Understanding of scalable and distributed systems, including considerations around performance, reliability, maintainability, and efficient data processing.
- Ability to work across the application, service, and data layers, understanding how different components come together to deliver end-to-end solutions.
- Strong analytical and problem-solving skills, with the ability to break down complex technical challenges, evaluate tradeoffs, and develop effective solutions.
- Demonstrated ability to write clean, maintainable, testable code and contribute effectively to code reviews and quality-focused development practices.
- Strong communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, QA, and other technical and business stakeholders.
- Curious and adaptable, with a growth mindset and willingness to learn new technologies, explore unfamiliar problems, and take on increasing levels of responsibility.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.
Benefits:
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- Flexible spending account and health savings account
- Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days, pro-rated based on date of hire
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- Deferred compensation for eligible roles
- Fitness reimbursement or on-site fitness facilities
- Eligibility for tuition reimbursement