Staff SW Engineer

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Opportunity

We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.

Essential Functions

• Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
• Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
• Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
• Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions
• Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
• Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Qualifications

• Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD in Computer Science, Information Systems or similar field in the financial services industry.
• Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum three (3) years' experience in a directly related field.
• Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years' experience in a directly related field.
• Minimum Eight (8) Years Of Directly Related Experience. 7-10 years of work experience and a Bachelor’s degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 years of experience with a PhD in Computer Science, Information Systems or similar field in the financial services industry.
• Strong expertise in developing and supporting complex solutions for business enterprise applications on batch and data processing with security.
• Experience in developing solutions using ETL tools like CloverETL, Ab Initio, Pentaho or other ETL Tool.
• Past project experience using CloverETL or Ab Initio preferred.
• Experience in a programming language like Python or Java and scripting experience in shell preferred.
• Experience working with Reporting tools like Jasper or custom reporting preferred.
• Solid understanding and preferably experience working experience with AI/ML technologies in building and supporting scalable, reliable data solutions and AI/machine learning powered systems using modern big data and AI/ML technologies.
• Relational database and strong SQL development experience required, Experience with DB2 preferred.
• Experience with Big data technologies Hadoop, Spark and No-SQL database like Cassandra preferred.
• Experience with scheduling tools like Control M, CA-ESP or Autosys desirable.
• Experience with source control GIT or similar and in deployment and distribution lifecycle with automated and scalable CI/CD tools, including Jenkins, Ansible.
• Experience in resolving production issues and strong communication skills to present complex ideas and document clearly.
• Basic mainframe knowledge is preferred.
• Experience with containerization technologies and orchestration tools (Docker, Kubernetes) Hands-on experience in Generative AI.