Lead - Sight Reliability Engineer

Virtusa; Hyderabad; Hybrid; INR 2,500,000 - 6,000,000; Full time

Job summary

Virtusa Corporation seeks a Lead Site Reliability Engineer to join the AIDA Engineering group. You will architect and maintain cloud-based MLOps pipelines for scalable, reliable AI/ML workflows and collaborate with AI engineers, data engineers, and software teams.

You will build containerized infrastructure, ensure production stability, lead incident management, and apply SRE best practices across AWS, Databricks, and Kubernetes environments in a fast-paced setting.

Qualifications

• Experience in designing, deploying and maintaining cloud-native platforms for AI/ML workloads.
• Strong knowledge of SRE concepts, incident management and reliability engineering best practices.
• Proficient in coding for automation and debugging (Python/Go/Rust/Typescript).
• Hands-on Kubernetes administration and cloud services (AWS).
• Experience with AI/ML pipelines, Databricks MLFlow, and model serving workflows.

Responsibilities

• Lead SRE efforts for cloud-based MLOps pipelines and AI workloads.
• Architect and maintain containerized infrastructure supporting SDLC processes.
• Collaborate with AI engineers, data engineers, and software teams to ensure reliability and scalability.
• Manage incidents, triage outages, and drive root-cause analysis and remediation.

Skills

SRE principles

Kubernetes

Python

Go

Rust

Typescript

Cloud native platforms

AWS Bedrock

Databricks MLFlow

Data pipelines

Incident management

Troubleshooting

Communication skills

Tools

Terraform

Weaviate

Job description

Role & responsibilities

Lead (MLOps & Infrastructure Reliability) P4

We are looking for an intelligent, resourceful, and highly skilled Lead Site Reliability Engineer to join our AIDA Engineering group. In this role, youll focus on architecting and maintaining cloud-based MLOps pipelines to enable scalable, reliable, and production-grade AI/ML workflows, working closely with AI engineers, data engineers, and software teams. You will work closely with application development teams to build scalable, containerized infrastructure to support a modern SDLC process. This group plays a critical role in ensuring the stability, reliability, and availability of mission-critical production applications across Wiley.

What were looking for:

• Up to 5 years of experience in a Site Reliability Engineering (SRE), DevOps, or Production Engineering role, with a deep understanding of SRE principles and best practices.
• Design, implement, and maintain cloud-native platforms to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
• Hands-on experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows.
• Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics.
• Proficiency in at least one coding language (Python, Go, Rust, or Typescript) for automation and debugging.
• Hands-on experience in Kubernetes (K8s) for managing and orchestrating containerized applications.
• Cloud experience (AWS preferred) with exposure to key services like EC2, S3, Lambda, and Bedrock GCP a plus.
• Incident management expertise, including triaging, escalation, and resolution of high-severity outages.
• Strong troubleshooting and problem-solving skills, with experience diagnosing complex production issues.
• Excellent communication skills to articulate technical challenges and solutions effectively.

Preferred skills

Experience writing, maintaining and contributing to Terraform.

Experience with AI-native Vector databases, ex. Weaviate.

Architecting and managing AI/ML workloads in production using the employing of

Work Experience

10-15Years