Software Engineer - Senior Consultant level, GenAI, Learning Enablement Technology

Visa•Austin, TX

2d•Hybrid

About The Position

As a Senior Consultant Software Engineer for the Learning Enablement Technology (LET) within VAS PD, you will join a global engineering organization responsible for the end‑to-end development, modernization, integration, and support of custom applications and key SaaS platforms. LET provides technology ownership for Visa Consulting and Analytics applications including Visa University (our flagship learning solution for financial industry professionals offering classes and certifications), Minerva (an Issuer Benchmark Study service, crucial for providing in-depth performance and profitability analysis for credit card issuers), and VCA Knowledge Xchange (a key tool for facilitating knowledge exchange and learning for Visa consultants). Your contributions will be vital in shaping the future of these platforms, ensuring they continue to meet the needs of our users and maintain Visa's position as a leader in the industry. Your responsibilities will span over the entire portfolio and include design, technology ownership, security and infrastructure management, software development, and support. You will also manage relationships with vendors, consultants, business stakeholders, and technology partners. This is a hands-on individual contributor role in Austin, US. Our team has a startup mindset, and we partner with various teams to produce best-in-class software solutions to meet evolving needs of clients. We have a culture of not resting on our laurels and you will fit right in if continuous improvement is in your DNA. The ideal candidate will bring energy and enthusiasm to evolve our platforms to the next level. We believe in leading by example, ownership with high standards, and being curiously creative.

Requirements

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.
Strong hands on experience in designing, developing, deploying, and supporting highly available enterprise applications.
Full stack and systems architecture experience strongly preferred.
Deep experience with: C#, .NET Framework/Core At least one of Python, Java, NodeJS Modern UI frameworks like React and/or Angular with JavaScript/TypeScript. MS SQL APIs/Web Services HTML/CSS/XML Windows/IIS Azure Cloud Git
Passion for clean code, clean architecture, engineering excellence, and technical governance.
Strong background in DevOps, release engineering, and distributed infrastructure management.
Excellent leadership skills with the ability to influence across teams and geographies.
Strong understanding of Agile methodologies and modern delivery practices.
Excellent communication and collaboration skills for diverse audiences.
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
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, etc.
Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams

Nice To Haves

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Master’s degree in Computer Science or a related field and 11+ years of directly related experience or Bachelor’s degree in the above fields and 14+ years of directly related experience.
14+ years of professional experience with a Bachelor’s degree or 11+ years with an advanced degree (Master’s, MBA, JD, MD).
Experience using GenAI tools like Claude Code within the SDLC is a big plus.
Experience with observability and monitoring tools such as Grafana, Splunk, App Insights, or ThousandEyes.

Responsibilities

Define and drive technical strategy for major cross‑team and multi‑product initiatives, including solution architecture and design documents.
Contribute hands‑on code for the most critical and complex components.
Establish and enforce engineering standards, coding practices, and architectural principles across teams.
Lead solution architecture discussions to ensure alignment with platform frameworks and enterprise technical standards.
Leverage GenAI tools and techniques to implement innovative solutions.
Design and build secure, scalable, resilient, modular, and API‑driven solutions for global deployment.
Develop and enhance features in .NET applications, including integrations with SaaS platforms.
Leverage modern technologies and GenAI tools to accelerate development and enhance product capabilities.
Produce high‑quality development, operational, and support artifacts, actively participate in peer code reviews.
Ensure full alignment to SDLC governance practices and documentation standards.
Work closely with product managers, UX designers, and cross‑functional engineering teams to deliver solutions that meet evolving global user needs.
Support vendor evaluation, onboarding, and management activities.
Operate independently in a fast‑paced, complex environment—driving delivery, resolving blockers, and meeting service-level expectations.
Uphold engineering excellence through CRE (Corporate Reliability Engineering) principles—ensuring observability, reliability, and high availability.
Stay current with industry trends, emerging technologies, and innovations in the payments ecosystem, proposing forward‑looking solutions.
Work with DevOps teams to design, maintain, and optimize CI/CD pipelines using Git, Jenkins, and related automation tooling for builds, testing, and deployments.
Ensure robust Git workflows—including branching strategies, code reviews, tagging, release management, and governance—across engineering teams.
Implement and apply DevSecOps best practices, covering vulnerability scanning, dependency checks, secrets management, and secure configuration baselines.
Troubleshoot deployment and environment issues across development, QA, staging, and production environments, ensuring quick resolution and minimal disruption.
Continuously optimize deployment workflows, runtime performance, cloud resource utilization, and operational efficiency.