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.
Job Description
Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!
This position is for a Staff SW Engineer with a background in development of distributed backend platforms. The right candidate is one who will focus on creating and maintaining new capabilities for AI as a Service while maturing our platforms and products.
You will be an integral part of the AIaS engineering team, analyzing and implementing new requirements, in a continuous effort to provide better solutions to Visa’s consumers. You must be a self-organized individual should be flexible and willing to switch tasks based on business needs.
If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:
5 or more 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
Preferred Qualifications:
6 or more years of work experience with a Bachelor's 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
Strong Development experience in more than one of the following: Golang, Java, Python, Rust, and C/C++
Knowledge of common Big data and Real Time stack such as Hadoop, Spark, Kafka, Redis, Flink and similar technologies
Hands on experience in building and maintaining data and model engineering pipelines, feature engineering pipelines and comfortable with core ML concepts
Proven knowledge of successful design, architecture and development using Big Data Hadoop, J2EE and Spark with large data volumes and transaction systems
Possesses a deep understanding of benefits or drawbacks of different integration patterns
Experience with GIT,Stash, Maven and Jenkins
Experience in developing, testing, validating and productionizing AL/ML models for high performance use cases will be an added advantage
Strong interpersonal, facilitation, and effective communication skills both written and verbal and the ability to present complex ideas in a clear, concise way
Highly driven, resourceful and results oriented
Demonstrated ability to lead and navigate through ambiguity
Past experience in Payments knowledge is preferred
Certification in hybrid cloud computing architecture (Microsoft Azure, AWS, Google Cloud Platform) will be added advantage
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.
