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Senior Site Reliability Engineer - AI/ML

Senior Site Reliability Engineer - AI/ML

Visa

4 - 11 years

25 - 30 Lacs

Bengaluru

Posted:7 hours ago| Platform:

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Skills Required

Computer science System architecture Automation Change management Analytical Incident management Troubleshooting Monitoring Python Capacity planning

Work Mode

Work from Office

Job Type

Full Time

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.

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: Han

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Senior Site Reliability Engineer - AI/ML