Staff Software Engineer

Visa Visa · Fintech · Bengaluru, India, IN

Staff Software Engineer at Visa's Corporate Information Technology, Revenue & Pricing team. This role focuses on designing, developing, and implementing applications for Visa's revenue growth through flexible rule-based pricing engines and global revenue platforms. The engineer will work on mission-critical large revenue systems, including transaction processing, pricing, rating, and billing, ensuring high scalability, resiliency, and monitoring. Responsibilities include analysis, technical design, development, unit testing, code review, mentoring junior team members, and staying abreast of emerging technologies. The role requires extensive experience in Java-based applications, modern JavaScript frameworks, Spring Boot, and architecting large-scale, production-grade applications within an agile environment. Experience with AI systems and algorithms is a plus, as is practical experience in data modeling, data warehousing, and ETL processes.

What you'd actually do

  1. Develop solutions for mission critical large revenue systems, including transaction processing, pricing, rating, billing. Responsibilities include analysis, creation of technical designs, development, unit testing and support activities.
  2. Design and Build applications using a variety of frontend and backend technologies.
  3. Design and build applications with high level of scalability, resiliency, and monitoring.
  4. Review designs and code developed by other developers to ensure quality of deliverables.
  5. Work closely with business partners, TPMs and Product managers to drive and or facilitate user story grooming, functional and technical specifications, workflow designs, use cases and process re-engineering.

Skills

Required

  • 8 years or more of relevant experience in application development and implementation (designing, coding) Java based applications with exposure to both front end development frameworks and back-end processes
  • Expertise in core Java, scripting, Hibernate, JavaScript, NoSQL, Oracle Database and Design Patterns
  • At least 3 of experience building applications on one of the modern JavaScript frameworks such as Angular, Node JS or React
  • At least 3 years of experience building applications using Spring Boot
  • Experience in developing and architecting large-scale, production-grade applications
  • Familiar with parallel or distributed systems
  • Experience with agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, and Jenkins
  • Ability to create wireframes and responsive designs that result in a great user experience
  • Expert building web applications from the ground up
  • Experience in NoSQL such as MongoDB and Cassandra or in PostgreSQL.
  • Knowledge of common data structures and ability to write efficient code in Python
  • Demonstrated knowledge of RDBMs and SQL with experience in building complex database queries based on the understanding of the data model is a big plus
  • Strong interpersonal, facilitation, and leadership skills along with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear, concise way
  • Ability to work in a complex organization to determine business and customer needs, providing the best solution to meet those needs
  • Strong teamwork focus

Nice to have

  • Experience in developing and implementing AI systems and algorithms is a plus
  • Practical experience in data modeling, data warehousing, and developing ETL processes using tools such as Talend is a significant plus
  • Experience with metrics and evaluation for large systems
  • Experience with messaging systems, including Kafka or Active MQ will be a plus

What the JD emphasized

  • extensive experience in developing (coding) solutions for functionally complex, large volume, high throughput financial systems
  • Experience in developing and architecting large-scale, production-grade applications
  • Experience with metrics and evaluation for large systems