Software Engineer (Senior Consultant Level) – Platform Engineering at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jul, 26

Salary

243700.0

Posted On

10 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Architecture, Platform Engineering, Java, Python, Javascript, Shell Scripting, Ansible, Kubernetes, Docker, Generative AI, Distributed Systems, Cloud-native Design, RESTful APIs, CI/CD, Automated Testing, DevOps

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Opportunity: Are you a senior engineer who thrives at the intersection of system architecture and hands‑on development? This is a senior platform engineering role focused on designing and building scalable infrastructure and services that power Visa’s internal AI platforms—enabling engineers across the company to develop, deploy, and operate Generative AI solutions safely, reliably, and at global scale. In this role, you will help design and build Visa’s internal AI hosting and enablement platform—often described as an “AI playground” for developers—providing the foundational services, APIs, and tooling that allow teams to innovate quickly while meeting Visa’s standards for security, performance, and reliability. You’ll work on high‑impact platform systems that support billions of transactions, collaborate with engineers across product, infrastructure, and architecture teams, and influence technical decisions that ripple across Visa’s global technology ecosystem. This is a backend‑leaning, full‑stack role with end‑to‑end ownership, spanning system design, service development, integrations, deployment, and operational excellence. If you’re passionate about building foundational platforms, solving complex distributed systems challenges, and enabling other engineers to move faster, this role offers the opportunity to make a global impact while shaping the future of AI infrastructure at Visa. Essential Functions: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of user documentation of solutions and implements standard processes in user documentation. Plays a key role in the development and delivery of new features across products from end-to-end The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, “hacking” beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, Python, Javascript, Shell/PowerShell scripting, Ansible Playbooks) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, GENAI technologies etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: Experience designing and building internal platforms, frameworks, or shared services used by multiple engineering teams. Strong background in distributed systems, scalable service architecture, and cloud‑native platform design. Demonstrated ability to operate at senior consultant scope, including owning architectural decisions, driving technical design discussions, and influencing standards across teams. Experience building and operating production-grade backend services, including monitoring, incident response, and reliability improvements. Comfort balancing hands‑on development with system‑level thinking and long‑term architectural considerations. Experience developing modern services using languages such as Java, Python, or Go, and designing RESTful APIs. Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices. Exposure to Generative AI platforms or developer enablement systems, including model hosting, API integration, or AI workflow orchestration. We do not expect any single candidate to fulfill every qualification listed above. Many of our strongest engineers bring deep expertise in some areas and are eager to grow in others. If you are excited about building scalable platforms and enabling innovation at global scale, we encourage you to apply-even if your experience doesn’t align perfectly with every requirement. 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 this position is $152,200 to $243,700 USD per year, 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. Job Family Group: Engineering and Technology

Responsibilities

Design and build scalable infrastructure and services for internal AI platforms to enable secure and reliable Generative AI solutions. Collaborate across teams to develop robust software solutions and influence technical standards for global payment systems.