Lead Data Engineer – Cloud – Real-Time AI Platform

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 Services (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 Services is an ideal place for you!

Essential Functions

This role is for a Lead 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 a strong tech leader and cloud architect with a solid background in public cloud and AI/ML production systems. 

The ideal candidate will have a strong mix of hands-on technical knowledge and leadership skills, with the ability to inspire and drive the team towards achieving our technical objectives. They should be hands-on, knowledgeable about cloud technologies, business drivers, and emerging AI/ML trends, and experienced with AWS and GCP services. The role demands a proactive leader who can guide the team through uncertainty, educate stakeholders, and influence decisions. The candidate should possess strong interpersonal skills, excellent written and verbal communication, and the ability to manage complex projects and deadlines. A problem-solving mindset and a hands-on approach are key to succeeding in this role..

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:
• 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:
• 10+ years of demonstrated ability in leading and mentoring development teams.
• 5+ years of hands-on experience in building and delivering robust and scalable solutions on platforms such as AWS, Google Cloud Platform, and Microsoft Azure, preferably in a large-scale AI/ML production environment, with AI/ML model engineering experience.
• Expertise in cloud architecture and cloud service offerings such as compute, storage, databases, networking, AI, and machine learning, with expertise in AWS EKS, ElasticCache, and CloudWatch.
• Experience in Cloud Big Data Services and Cloud AI/ML Solutions such as: AWS Sagemaker, Comprehend, and GCP AutoML or experience with Ray framework.
• Expertise in one or more of the following: Python, Golang, Java, Rust, and/or C/C++.
• Knowledge of successful design and development of data driven real time and batch systems.
• Deep understanding of the benefits and drawbacks of different design, architectural, and integration patterns and strong system design skills.
• Strong cloud security and standard processes for cloud infrastructure management.

Additional Information

Work Hours: Varies upon the needs of the department.

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

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

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 161,300.00 to 209,700.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.