Senior Software Engineer
Indexed description
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
- 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
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
- 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
- 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
- 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
Qualifications
Basic Qualifications:
- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
- 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 and orchestration technologies such as Docker and Kubernetes
- Experience with CI-CD pipelines and automation tools including Jenkins, Terraform, or Ansible
- Working knowledge of observability and monitoring tools such as Prometheus, Grafana, or Splunk
- Strong troubleshooting, debugging, and problem-solving skills
- Experience working in Linux-Unix environments
- Strong written and verbal communication skills
- Nice to Have (Not Required)
- Experience with middleware technologies such as Kafka, IBM MQ, DataPower, or Spring Boot
- Exposure to AI-ML concepts or modern AI development tools
- Experience with distributed, event-driven, or large-scale systems
- Familiarity with emerging engineering tools such as MCP, Cline, Aider, Cursor, or GitHub Copilot
- Open-source contributions, personal technical projects, or hackathon experience
- How You'll Thrive Here
- We're looking for engineers who are:
- Curious and eager to learn
- Passionate about building software that solves operational problems
- Thoughtful about system reliability, scalability, and maintainability
- Comfortable working in complex production environments
- Strong collaborators who enjoy solving challenging problems as part of a team
- Builders who take ownership and seek opportunities to improve systems and processes
- Our Commitment to Inclusion
- At Visa, we are committed to fostering an inclusive environment where all employees can thrive and contribute their best work. We welcome candidates with a broad range of experiences and perspectives who are motivated to learn, grow, and make an impact.
- Work Arrangement
- Hybrid role based in Basingstoke. Employees typically work in the office 2–3 days per week, with flexibility based on team and business needs.
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