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Site Reliability Engineer @ Digital Nirvana

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 Site Reliability Engineer

Job Description

Job Summary


We are seeking a motivated and detail-oriented Site Reliability Engineer (SRE) with 1 to 3 years of experience to join our growing team. The ideal candidate will have a strong foundation in Linux systems administration, AWS cloud infrastructure, and a basic understanding of DevOps tools and practices. This role involves maintaining system reliability, automating operational tasks, and ensuring high availability and performance of services.


Role & responsibilities

  • Monitor and maintain availability, performance, and reliability of production systems
  • Manage and troubleshoot Linux-based servers in a production environment
  • Deploy, manage, and optimize services on AWS (EC2, S3, IAM, CloudWatch, RDS, etc.)
  • Respond to system outages and ensure timely resolution
  • Collaborate with development and QA teams for deployment and support activities
  • Participate in on-call rotations as needed

Preferred candidate profile


1 to 3 years of hands-on experience as a System Administrator, DevOps Engineer, or SRE

  • Strong expertise in Linux system administration (CentOS, Ubuntu, etc.)
  • Good working knowledge of AWS cloud services EC2, S3, IAM, CloudWatch, RDS, etc.
  • Basic experience with DevOps tools like Git, Jenkins, Docker, Ansible, or Terraform
  • Familiarity with monitoring and alerting tools like Prometheus, Grafana, or CloudWatch

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT Infrastructure Services
Role: IT Operations Management
Employement Type: Full time

Contact Details:

Company: Digital Nirvana
Location(s): Hyderabad

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Keyskills:   Linux Administration Redhat Linux Aws Cloud Jenkins Terraform Docker Devops Tools Ansible Kubernetes

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Digital Nirvana

Founded in 1996, Digital Nirvana provides knowledge management solutions for an increasingly media-centric world. Our products and services enable large volumes of data to be automatically acquired, compiled, and organized for analysis, troubleshooting, and decision-making.