Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
The Loyalty & Benefit (Product Reliability Engineering) is a highly diversified team located across different geographic locations supporting critical financial applications from all major clients from all continents.
The scope of work includes all cutting edge and diversified technologies like Big Data, Hive, Spark, Scala, Java, Python, Kafka, HBASE, Containers, Kubernetes, AWS , Azzure, APIs, My SQL, Postgres, Redis, Mongo DB, DB2, Splunk, Control-M and many more. The position offers an incredible learning opportunity in GenAI and LLM.
Direct involvement with clients from different countries to resolve different queries gives a great learning scope on soft skillsets like communication, leadership, ownership.
The Work itself:
Loyalty and Benefits PRE team is responsible to maintain a stable and robust production system for all Applications which are handing a huge number of enrollments, campaigns, Online Access queries, Client interfaces for VISA. They are responsible for second level problem identification, resolution, security management, data analyses and client query resolution.
The team needs to support high availability continuous flow streaming services, classic heavy data handling batch services, online services with low turnaround time, client facing UI system.
Essential Functions
The Skills You Bring:
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
• Knowledge of scripting and/or query languages
• Good working knowledge of Unix or Linux OS, Windows Server a bonus
• Base understanding of bigdata technologies e.g. Hadoop framework, kafka, spark etc.
• Containers experience welcomed e.g. Kubernetes.
• Curiosity and interest in GenAI and LLMs
• Open to working flexible hours if/as needed.
• Ability to monitor, support and provide solutions to real time or near real time applications.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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