Senior Software Engineer at Visa in GB - Basingstoke, United Kingdom

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.
• 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.
• 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

Responsibilities

• 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.

Requirements

• 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
• DataPower
• Linux - Unix
• 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)
• 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
• 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

Skills

Required

• Python
• Java
• Go
• AWS
• GCP
• Azure
• Docker
• Kubernetes
• Jenkins
• Terraform
• Ansible
• Prometheus

Preferred

• Kafka
• IBM MQ
• DataPower
• Spring Boot
• AI-ML concepts
• MCP
• Cline
• Aider