Staff Data Engineer - Cloud

Company Description

Visa is a global frontrunner in digital payments, facilitating more than 215 billion payment transactions annually between consumers, merchants, financial institutions, and government entities across over 200 countries and territories. Our mission is to connect the world using the most innovative, convenient, reliable, and secure payment network, thus empowering individuals, businesses, and economies to prosper.

Joining Visa means becoming part of a culture that emphasizes purpose and belonging - a place where your growth is a priority, your identity is welcomed, and the work you do has a significant impact. We believe that economies inclusive of everyone everywhere uplift everyone everywhere. Your work will have a direct influence on billions of individuals worldwide, helping to unlock financial access to allow the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

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

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their enduring business value. Built with adaptable AI capabilities, privacy-enhancing computation, and cloud-native platforms, AIaS powers automate industrialization of data, models, and applications for predictive and generative AI. AIaS, equipped with strong governance, optimizes the performance, scalability, interpretability, and reliability of AI models and services. If you're looking to work in the exciting payment and AI space, learn quickly, and make significant impacts, Visa AI as a Service is an ideal place for you!

This role is for a Staff Data Engineer – Cloud, with a strong development background. You will extend our AI as a Service platform to the Public Cloud while enhancing and optimizing our existing codebase and development procedures, as well as creating new solutions. We are looking for an experienced professional with a solid background in public cloud and AI/ML production systems.

The ideal candidate will have the ability to learn quickly and deliver solutions within strict deadlines in a fast-paced environment. You should have a knack for optimizing existing solutions and innovating improvements. Strong interpersonal and effective communication skills, both written and verbal, are key. Additionally, you should have knowledge of Agile methodologies, common scrum practices, and tools. You should also be capable of coaching and mentoring other team members, fostering a supportive and cooperative environment.

This role provides ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you're experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we can't wait to hear from you.

This position is hybrid. Hybrid employees can divide their time between the office and remote work. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general aim of being in the office 50% or more of the time, based on business requirements.

Qualifications

Basic Qualifications

• 7 years of relevant work experience with a Bachelor's degree or 4 years of relevant work experience with an advanced degree (e.g., Masters, MBA, MD) or 2 years of relevant work experience with a PhD

Preferred Qualifications

• Strong 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++
• Proven 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 experience with Kubernetes/EKS and HashiCorp Nomad is a significant advantage.
• Familiarity with Redis, Kafka, and Ray (on-prem, K8, AWS, or GCP)
• Proficient understanding of cloud architecture and service offerings, including compute, storage, databases, networking, AI, and ML.
• Strong understanding of cloud security and best practices for cloud infrastructure management.
• Hands-on experience with Ray (on-prem, K8s, AWS, GCP, or Azure)
• Familiar with common software development tools, CICD, Agile methodologies and scrum practices
• Experience in building large-scale distributed high-performance systems in payments or other domains

Additional Information

Visa is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment regardless of 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.