Senior Software Engineer
Visa is hiring a Senior Software Engineer. Level rates it ; you can apply on Visa.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Copilot, LangChain and LangGraph among its tools and skills.
- Level classes it as a senior role.
- Visa has 826 other open roles on Level.
AI in this role
Senior software engineer building AI-driven automation and intelligent scalable systems for global payment reliability.
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 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 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.
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.
How we rate this
Senior Software Engineer at Visa rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where reliability engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Software Engineering, Reliability Engineering, Automation, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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