Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Position Summary:

The Reliability Engineering Automation team prides itself in keeping Visa systems up and secure, catering to the 24*7 needs of the business. The GenAI Senior site reliability Engineer, a highly motivated senior individual contributor based in India – Bengaluru location, responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning. The role is a senior technologist who has the passion to solve problems developing systems and software that help increase site reliability and performance. Site reliability engineering (SRE) fuses the software engineering and operations disciplines in GenAI ecosystem.

Responsibilities:

- System Reliability: Ensure the uptime, reliability, and scalability of GenAI platforms and services.

- Monitoring & Alerting: Design, implement, and improve monitoring, logging, and alerting for AI workloads and infrastructure.

- Incident Response: Respond to, investigate, and resolve production incidents, ensuring minimal disruption to GenAI services.

- Automation: Develop and maintain automation scripts for deployment, scaling, and recovery of GenAI systems.

- Performance Optimization: Analyze system bottlenecks and optimize resource utilization for AI model training and inference.

- Collaboration: Work closely with ML engineers, data scientists, DevOps, and platform teams to support end-to-end GenAI pipelines.

- Security & Compliance: Implement robust security practices and ensure compliance with relevant data and AI regulations.

- Documentation: Maintain clear documentation for processes, runbooks, and system architecture.

Required Skills:

- Kubernetes & Containers: Proficiency in Kubernetes, Docker, and related tools for orchestration of AI workloads.

- Infrastructure as Code: Skills in Terraform, Ansible, or similar.

- Monitoring & Logging: Familiarity with Prometheus, Grafana, ELK stack, or similar tools.

- Scripting & Programming: Ability to write scripts (Python, Bash, Go, etc.) for automation and tooling.

- CI/CD Pipelines: Knowledge of CI/CD workflows, especially for ML/AI projects.

- AI/ML Workloads: Understanding of ML model lifecycle, distributed training, and inference serving (e.g., using Ray, Kubeflow, MLFlow).

- Troubleshooting: Strong analytical and troubleshooting skills, especially in complex, distributed environments.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Bachelor’s or master’s in computer science, Engineering, or a related field.
- Professional Experience: 4+ years as an SRE, DevOps Engineer, or similar, preferably supporting AI/ML or large-scale data platforms.
- AI/ML Infrastructure: Hands-on experience operating GPU clusters, AI frameworks (TensorFlow, PyTorch), and data pipelines is a plus.
- Incident Management: Demonstrated experience in high-severity incident response and postmortem analysis.
- Collaboration: Experience working in cross-functional teams, especially with AI/ML practitioners.

Additional Information

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.