Site Reliability Engineer

1 day ago

Hyderabad, Telangana, India Techxlnc Ai Full time ₹ 15,00,000 - ₹ 25,00,000 per year

we have open requirement for "SRE LEAD Engineer"

client: MNC.

PRODUSCT BASE US COMPANY

Role & responsibilities

Responsibilities:

  • Architect, design, and deploy end-to-end infrastructure solutions for a multi-tenant

microservices-based SaaS application with a focus on AI/ML model integration.

  • Ensure system reliability, scalability, performance, and security, specifically enhancing

AI/ML processing pipelines and workflows.

  • Utilize Terraform scripting for on-demand environment provisioning within the AWS

cloud, optimized for AI/ML workloads.

  • Implement and refine monitoring and alerting systems across application, network, and

OS layers to support AI model operations and data processing.

  • Diagnose, support, and resolve production issues and alerts, participating in a 24/7

on-call rotation to maintain seamless AI/ML service operations.

Qualifications :

  • 8+ years of experience in Site Reliability Engineering (SRE) and DevOps roles with a

track record of managing large-scale enterprise SaaS services in production, including

1+ year in AI/ML infrastructure.

  • Demonstrated expertise with AWS public cloud technologies, including extensive

experience in deploying and managing large-scale container clusters using AWS, EKS.

Skilled in Infrastructure as Code (IaC) using Terraform, and container technologies such

as Docker and Kubernetes.

  • Proficient in scripting and programming for automation (Python, Bash, etc.), with strong

Linux OS and networking fundamentals relevant to AI/ML workloads.

Job Description:

  • Experience in establishing monitoring systems to ensure high availability, performance,

and security integrity, using tools like ELK Stack, CloudWatch, and others tailored for

AI/ML monitoring.

  • Hands-on experience managing microservices architecture SaaS products, enabling

RESTful web services, SSO integration (Okta, Auth0), and utilizing cloud databases like

EC2-RDS, MySQL, and Elasticsearch, especially in AI/ML deployments.

  • Proficient in backup and disaster recovery strategies specific to AI/ML data resources

like RDS and Elasticsearch.

  • AWS Certified Solutions Architect is strongly preferred.
  • Self-driven, proactive, and adaptable to thrive in an early-stage startup environment, with

a keen interest in integrating AI/ML technologies into modern SaaS solutions.

Preferred candidate profile

If interested candidates please share the your profiles to .AI

NP: Immediate to 30 days

loc:HYD

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