Visa's Technology Organization is seeking Software Engineers to work on complex distributed systems and solve massive scale problems related to new payment flows, business and data solutions, cyber security, and B2C platforms, while also providing world-class application support and driving automation through AI.
Requirements
- Expertise in one or more general development languages (e.g., Java, C, C++)
- Experience building and deploying modern services and web applications with quality and scalability
- Proficiency in Python programming and UNIX-based scripting (Shell, Perl).
- Hands-on experience with Generative AI tools and APIs.
- Strong UNIX/Linux administration and OS hardening skills.
- Strong understanding of TCP/IP networking, with ability to analyze network traces.
- Proven track record in capacity planning, load testing, and performance tuning.
Responsibilities
- Provide Level 3 production support for the EA suite of applications, ensuring adherence to SLAs.
- Work in a 24x7 rotation to monitor, troubleshoot, and resolve production issues in collaboration with cross-regional teams.
- Develop Python-based tools and scripts for monitoring, automation, and operational efficiency.
- Leverage Generative AI frameworks (OpenAI, Copilot, etc) for automated troubleshooting and root cause analysis, intelligent log analysis and anomaly detection, and proactive system optimization and monitoring.
- Advocate for and design next-generation AI-powered operational support solutions.
- Develop install plans, define release schedules, and execute production changes end-to-end.
- Develop, update, and maintain production monitoring solutions.
Other
- Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
- Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
- Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
- Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams
- Excellent problem-solving and diagnostic abilities.
