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Jobs · Engineering · Texas

Staff Software Engineer -AI & Middleware Automation

Visa · Austin, TX · 3 mo ago
On-siteEngineering$132k–$210k/yrFull-time

About the role

Visa is a world leader in payments technology, facilitating transactions globally. This role is part of a growing software engineering organization within the Middleware Product Reliability Engineering (PRE) team in Austin.

Responsibilities

  • Design and develop middleware reliability solutions with limited guidance.

  • Produce extensible, maintainable code used across products, enforcing coding patterns, standards, and security best practices.

  • Lead and participate in design reviews; ensure solutions meet availability, scalability, security, and performance requirements.

  • Identify risks, interdependencies, and tradeoffs; define metrics to assess delivery feasibility.

  • Build intelligent automation systems leveraging AI/ML and LLM frameworks (LangChain, LangGraph, RAG pipelines).

  • Collaborate with teams across Visa to integrate AI-driven insights into reliability engineering workflows.

  • Identify opportunities for automation that eliminate toil and prevent recurring incidents.

  • Respond to complex incidents with customer or business impact — troubleshoot root causes, deploy fixes, and recommend solutions to prevent recurrence.

  • Participate in on-call rotations; provide incident response guidance to others.

  • Use advanced monitoring and observability to detect issues, identify patterns, and surface systemic risks.

  • Mentor and lead junior engineers in understanding requirements, coding standards, and engineering practices.

  • Drive code reviews that enforce quality; provide constructive technical feedback.

  • Teach others about tooling, automation, and reliability practices — share design learnings and investigative findings with the team.

Requirements

  • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.

  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.

  • 5+ years of professional software engineering experience.

  • Bachelor's degree in Computer Science, Software Engineering, or related field — or equivalent experience.

  • Proficiency in Python, Java, or Go — you write production-quality, secure, maintainable code.

  • Strong foundations in data structures, algorithms, systems design, and software development lifecycle.

  • Experience with DevOps tools and CI/CD pipelines: Jenkins, Terraform, Ansible, Docker, Kubernetes.

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization concepts.

  • Working knowledge of monitoring/observability tools (Prometheus, Splunk, Grafana).

  • Strong debugging, troubleshooting, and root cause analysis skills.

  • Experience mentoring engineers and leading code reviews.

  • Curiosity about GenAI and agentic systems — hands-on experience preferred.

  • 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).

  • Experience integrating AI agents into production systems.

  • Secure coding practices (OWASP principles).

  • Open-source contributions or public engineering portfolio.

Qualifications

  • Core Technologies: Python | Java | Go | Agentic AI / LLMs | MCP | LangChain / LangGraph | AWS / GCP / Azure | Kubernetes | Terraform / Ansible | Jenkins | Prometheus / Clickhouse / Grafana | Flink | Tomcat / Apache / Spring Boot | IBM MQ | NGINX | NodeJS | Connect Direct | IBM DataPower

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