Senior SW Engineer (Java Backend/Fullstack)

• Hands-on Programming
• Full-stack development contributes to the design of backend databases and queries, API creations and consumptions, and contributes to frontend UI development.
• Works independently with minimal insight to develop software that conforms to Visa s high standards of security, quality, performance, resiliency, and compliance.
• Design, develop, and unit test applications in accordance with established standards.
• Participate in design and code review sessions as appropriate
• Provide third-level support to business users.
• Keep up with current and developing engineering trends.
• Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology.

Basic Qualifications
-2+ years of relevant work experience and a Bachelors degree, OR 5+ years of
relevant work experience

Preferred Qualifications
-3 or more years of work experience with a Bachelor s Degree or more than 2
years of work experience with an Advanced Degree (eg Masters, MBA, JD,
MD)
-Bachelor degree in a technical field such as computer science, computer
engineering or related field required. Advanced degree preferred.
-5+ years of software development experience (with a concentration in data
centric initiatives), with demonstrated expertise in leveraging standard
development best practice methodologies
-Minimum of 3 years of hands-on expertise with Java, Spring and related
technologies.
-Experience in Gen AI, Big data and UI technologies will be an added advantage.
-Experience with highly distributed, scalable, concurrent and low latency
systems working with one or more of the following database technologies:
DB2, MySQL and NoSQL data warehouses such as HBase.
-Experience working in an Agile and Test-Driven Development environment.
-Experience with Continuous Integration and Automated Test tools such as
Jenkins, Artifactory, Git, Selenium, Chef desirable.
-Strategic thinker and good business acumen to orient data engineering to the
business needs of internal clients.
-Demonstrated intellectual and analytical rigor, strong attention to detail, team
oriented, energetic, collaborative, diplomatic, and flexible style.