Staff Data Engineer - Cloud

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments 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 payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

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 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 for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. 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 role is for a Staff Data Engineer – Cloud, with a strong development background, whose primary objective will be to extend our AI as a Service platform to the Public Cloud while enhancing, optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking for an experienced professional with a solid background in public cloud and AI/ML production systems.

The ideal candidate for this role will have the ability to learn quickly and deliver solutions within strict deadlines in a fast-paced 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. Additionally, they should have knowledge of Agile methodologies, common scrum practices and tools. The candidate should also be capable of coaching and mentoring other team members, fostering a collaborative and supportive environment.

This role offers 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 are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

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.

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++
• 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)
• Strong understanding of cloud architecture and service offerings including compute, storage, databases, networking, AI, and ML.
• Strong cloud security and best practices for cloud infrastructure management.
• Hands-on with Ray (on-prem, K8s, AWS, GCP or Azure)
• Well versed 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 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.