At a Glance
- Tasks: Build AI-driven automation and write production-grade software for global payment systems.
- Company: Join Visa, a leader in payments technology with a mission to uplift everyone, everywhere.
- Benefits: Enjoy competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic team culture with clear paths for career advancement and continuous learning.
- Why this job: Make a global impact while working on cutting-edge technology in a collaborative environment.
- Qualifications: 2+ years of software engineering experience and strong programming skills in Python, Java, or Go.
The predicted salary is between 63000 - 77000 £ per year.
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 Bachelor's 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)
- 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.
Senior Software Engineer employer: Visa
Visa is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its employees. With a strong focus on professional development, Visa offers numerous growth opportunities and the chance to work on cutting-edge financial technologies in a global environment. Located in a vibrant area, employees benefit from a supportive atmosphere that values diversity and inclusion, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Visa or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Visa.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Visa.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Visa that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Visa.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Visa and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Visa
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Visa uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
