Staff Data Engineer - Cloud - Real-Time AI Platform

Company Description

Visa is a global leader in digital payments, processing over 215 billion payment transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payment network, empowering individuals, businesses, and economies to flourish.

When you join Visa, you become part of a community that values purpose and belonging - a place where your growth is prioritized, your identity is celebrated, and your work makes a difference. We are firm believers that economies that include everyone everywhere elevate everyone everywhere. Your work will directly influence billions of individuals worldwide - helping to provide financial access that enables the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Are you prepared to make a global impact by industrializing AI?

Visa AI as Services (AIaS) implements the delivery of AI and decision intelligence for continuous business value. AIaS, which is built with adaptable AI capabilities, privacy-friendly computation, and cloud-native platforms, powers and automates the industrialization of data, models, and applications for predictive and generative AI. With solid governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you're looking to work in the exciting field of payments and AI, learn quickly, and make a large impact, Visa AI as Services is the ideal place for you!

Essential Functions

This role of a Staff Data Engineer - Cloud requires a strong development background, with the main goal being to expand our AI as a Service platform to the Public Cloud. This will involve enhancing and optimizing our existing codebase and development procedures, as well as developing new solutions. We are searching for an experienced professional with a solid foundation in public cloud and AI/ML production systems. 

The ideal candidate for this role will be capable of learning quickly and delivering solutions within stringent deadlines in an accelerated environment. They should have a passion for optimizing existing solutions and making incremental improvements. Strong interpersonal and effective communication skills, both written and verbal, are essential. Knowledge of Agile methodologies, common scrum practices and tools is also important. The candidate should also be capable of coaching and mentoring other team members, fostering a collaborative and supportive environment. 

This position offers ample opportunities for learning and development, as well as the chance to contribute to achieving the next big thing for our AI as Services team. If you are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we want to hear from you.

This is a hybrid position. Hybrid employees divide their time between remote work and office work. Employees in hybrid roles are expected to work from the office 2-3 set days a week (as determined by leadership/site), generally spending 50% or more of their time in the office based upon business needs.

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:
• 5 years of related experience with AWS, GCP, or Azure, preferably in an AI/ML production environment, with a deep understanding of cloud architecture and service offerings.
• Development experience in one or more of the following: Golang, Java, Python, Rust, and/or C/C++
• Demonstrated expertise in designing, developing, and deploying cloud-based applications or experience in cloud services such as compute, storage, databases, networking, AI and machine learning.
• Knowledge of successful design, and development of data-driven real-time and batch systems.
• Experience with model inference engines such as TensorFlow Serving, Triton, or other AI accelerators.
• Hands-on with Kubernetes/EKS and HashiCorp Nomad is a significant advantage.
• Hands-on with Redis, Kafka, and Ray (on-prem, K8, AWS or GCP)

Additional Information

Work Hours: Varies depending on the department's needs.

Travel Requirements: This position requires 5-10% travel time.

Mental/Physical Requirements: This position will be carried out in an office setting.  The job will require the incumbent to sit and stand at a desk, communicate in person and by phone, frequently operate standard office equipment, such as phones and computers.

Visa is an equal opportunity employer.  All 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 also considers for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and local law.

Visa considers for employment qualified applicants with criminal histories in a way that complies with local law, including the requirements of Article 49 of the San Francisco Police Code.

ONLY U.S. APPLICANTS: The estimated range for a new hire in this position is 126,000.00 to 163,800.00 USD, possibly including potential sales incentive payments (if applicable). Salary may vary based on job-related factors such as knowledge, skills, experience, and location. Additionally, this position may be eligible for a bonus and equity. Visa offers a comprehensive benefits package for which this position may be eligible, including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and a Wellness Program.