Senior Software Engineer

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.

Progress starts with you. Job Description Build AI-driven automation that powers reliability at global scale. Work on real engineering problems, writing production-grade software that improves resilience, automation, and operational efficiency across critical payment infrastructure.

Join a collaborative engineering team in Austin helping shape the future of reliability engineering at Visa. About the Role At Visa, our Middleware Product Reliability Engineering (PRE) team is evolving into a modern software engineering organization focused on building intelligent, scalable systems that keep critical platforms running globally.

This is a hands‐on engineering role where you'll design and build software that improves reliability, automation, observability, and resilience across Visa's middleware ecosystem. If you enjoy writing production‐grade code, solving complex distributed systems problems, and seeing your work operate at real‐world scale, this role is for you.

Why This Role Stands Out Global impact from day one - your work supports critical payment systems operating across more than 200 countries and territories Austin builder culture - work in a highly technical, hands‐on environment where engineers are empowered to own problems and drive solutions Engineering‐first mindset - strong emphasis on software development, automation, platform engineering, and long‐term reliability improvements AI‐driven innovation - build intelligent automation, agent‐based workflows, and next‐generation reliability solutions Meaningful ownership - work on systems that directly improve operational efficiency, resiliency, and engineering productivity Strong growth opportunities - clear paths into Senior+, Staff, Principal, or Technical Lead roles Collaborative team environment - partner with engineers across the U.S., Europe, India, and Singapore Continuous learning - gain hands‐on experience with cloud platforms, AI technologies, middleware systems, and modern engineering practices Core Technologies Python Java Go AI - LLM Frameworks (LangGraph, LangChain, Agent Frameworks) AWS - GCP - Azure Kubernetes - Docker Terraform - Ansible Jenkins Prometheus - Grafana - Splunk Kafka - Flink Spring Boot Tomcat IBM MQ DataPower Linux - Unix What You'll Do Build Production-Grade Software Design and develop scalable automation platforms and reliability tooling Write clean, maintainable code in Python, Java, or Go Build systems for deployment orchestration, testing, validation, and rollback Develop self‐service platforms that reduce operational toil and improve engineering productivity Improve Reliability & Observability Enhance monitoring, alerting, and system visibility across critical middleware platforms Troubleshoot production issues and implement durable, long‐term engineering solutions Improve performance, resiliency, and operational readiness Leverage metrics, logs, traces, and automation signals to drive reliability improvements Contribute to AI‐Driven Engineering Build intelligent automation and AI‐assistant operational workflows Develop agent‐based and LLM‐powered solutions that improve reliability and engineering efficiency Evaluate, validate, and operationalize AI-generated outputs using sound engineering practices Partner with cross‐functional teams to bring modern AI capabilities into production environments Collaborate and Grow Work in an Agile, engineering‐focused environment Contribute to architecture discussions, code reviews, and engineering standards Share knowledge and mentor other engineers Partner with globally distributed teams to deliver reliable, scalable solutions Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic

Qualifications

2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred

Qualifications

3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) What We're Looking For Core Requirements 1-5 years of software engineering experience, or equivalent SRE-DevOps experience with strong software development skills Strong programming skills in Python, Java, or Go Solid understanding of data structures, algorithms, system design, and distributed systems Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerization a

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