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-assisted 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…