Site Reliability Engineer

1 day ago

Gurgaon, Haryana, India Datum Technologies Group Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Details:

Job Title: Site Reliability Engineer (SRE) With Azure & AI

Duration: Contract Position (On the Payroll of Datum Technology Group)

Location: Chennai || Mumbai || Gurugram

Interview Process: Virtual (2 Rounds) + 1 Technical screening.

Job Description:

  • We are seeking a skilled and collaborative Site Reliability Engineer (SRE) with deep expertise in Azure cloud hosting, AI infrastructure, and automation.
  • The ideal candidate will have hands-on experience managing cloud environments using GitHub/Azure DevOps lifecycle, and a strong understanding of AI model deployment and scaling.
  • You will work closely with a team of engineers to ensure reliable, secure, and scalable infrastructure for AI workloads and enterprise applications.

Key Responsibilities

  • Design, build, and maintain scalable cloud infrastructure on Microsoft Azure.
  • Automate infrastructure provisioning and deployment using Terraform, Argo, and Helm.
  • Manage and optimize Azure Kubernetes Service (AKS) clusters for AI and microservices workloads.
  • Support hosting of AI models using frameworks like Huggingface Transformers, vLLM, or on Azure OpenAI, VMs, or GPUs.
  • Implement CI/CD pipelines using GitHub Actions and integrate with JFrog Artifactory.
  • Monitor system performance and reliability using Grafana and proactively address issues.
  • Collaborate with software engineers to ensure infrastructure supports application needs.
  • Ensure compliance with networking and information security best practices.
  • Manage caching and data layer performance using Redis.

Required Skills & Technologies

Core to Role:

  • Azure Cloud Services (including Azure OpenAI)
  • AI Model Hosting & Infrastructure Knowledge
  • GitHub (CI/CD, workflows)
  • Azure Kubernetes Service (AKS)
  • Argo, Helm
  • Terraform
  • Docker
  • JFrog
  • Grafana
  • Networking & Security
  • Redis

Qualifications

  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 6+ years of experience in SRE, DevOps, or Cloud Infrastructure roles .
  • Proven experience with AI infrastructure and model deployment.
  • Strong communication and teamwork skills.

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