What You'll DO
Build Software, Not Just Scripts
Design and ship production-grade automation frameworks, tools, and platforms that improve reliability and availability of Visa's middleware products.
Write clean, maintainable Python, Java, or Go — code that scales, gets reviewed, and runs in production.
Develop modular frameworks for deployment orchestration, validation, rollback, and reporting.
Engineer the Future of Operations with Agentic AI
Contribute to our Agentic AI initiatives — intelligent systems for monitoring, anomaly detection, self-healing, and autonomous platform operations.
Integrate LLM frameworks (LangChain, LangGraph, agent frameworks, RAG pipelines) into production reliability workflows.
Partner with data science teams to bring AI-driven insights into day-to-day engineering.
Strengthen Observability & Reliability
Build and improve monitoring, alerting, and observability across our middleware stack.
Drive production troubleshooting, root cause analysis, and engineer permanent fixes.
Coordinate middleware releases, deployments, and performance tuning at global scale.
Grow With the Team
Operate within an Agile squad — share knowledge, document playbooks, and raise the bar.
Participate in on-call rotations with strong support structures.
Mentor junior engineers and learn from senior PRE engineers and principal architects.
You'll Thrive here If you are
Relentlessly curious — you ask *why* before *how*, never satisfied with "it works."
Internally driven — you spot opportunities, take initiative, and follow through.
A systems thinker — you anticipate second-order effects and design for failure modes.
Collaborative — you thrive in cross-functional, globally distributed teams.
An excellent communicator — you explain complex concepts clearly to any audience.
A fast learner — you adapt and grow as technology shifts (especially with AI).
Customer focused — reliability isn't a metric; it's a promise to those depending on Visa.
This is a hybrid position. Expectation of days in the office 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
3–5 years of professional software engineering experience (or equivalent SRE/DevOps with strong coding chops).
Bachelor's degree in Computer Science, Software Engineering, or related field — or equivalent experience.
Proficiency in at least one programming language (Python, Java, or Go preferred) — production-quality code, not glue scripts.
Solid foundations in data structures, algorithms, and systems design.
Hands-on experience with DevOps tools: Jenkins, Terraform, Ansible, Docker, Kubernetes.
Familiarity with cloud platforms (AWS, GCP, or Azure).
Working knowledge of monitoring/observability tools (Prometheus, Splunk, Grafana, or similar).
Strong troubleshooting, debugging, and performance tuning skills.
Comfort in Linux/Unix environments with command-line fluency.
Genuine curiosity about GenAI and agentic systems (OpenAI, Anthropic, LangChain).
Bonus Points For
Middleware experience: Tomcat, Apache, Spring Boot, JBoss, IBM MQ, IBM DataPower, Hazelcast, Kafka, Flink, SQS.
AI/ML engineering experience or hands-on work with LLM frameworks (LangChain, LangGraph, LlamaIndex, RAG pipelines).
Experience integrating AI agents or LLMs into production systems.
Event-driven and streaming architectures (Kafka, Flink, SQS).
Networking fundamentals: DNS, load balancing, service mesh, TCP/IP.
Open-source contributions or a public engineering portfolio.
Core technologies
Python | Java | Go | Agentic AI / LLMs | LangChain / LangGraph | AWS / GCP / Azure | Kubernetes | Terraform / Ansible | Jenkins | Prometheus / Splunk / Grafana | Kafka / Flink | Tomcat / Spring Boot / IBM MQ / DataPower
Why Join Us
Global scale from day one — your code runs across 200+ countries and billions of daily transactions.
AI-first engineering culture — we actively build and deploy agentic AI, not just discuss it.
Clear career trajectory — paths toward Senior Engineer, Staff Engineer, Technical Lead, or Engineering Manager.
World-class mentorship — learn from senior PRE engineers and principal architects with deep experience operating distributed systems at global scale across leading tech and fintech companies.
Mission that matters — your work powers economic access and financial inclusion for billions.
Investment in your growth — tuition assistance, cloud certifications (AWS, GCP, CKA), continuous learning stipends.
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.
