High Availability System Reliability Engineer

4 days ago

Nagpur, Maharashtra, India beBeeSiteReliabilityEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About the Position:

  • We seek a seasoned system reliability expert to design and develop scalable service level agreements, indicators, and objectives for high-availability services.
  • The successful candidate will be responsible for designing and implementing automation solutions for routine manual production/non-production operations using technologies like Ansible and Chef.
  • They will collaborate with developers, product managers, project managers, team leads, security, and QA team members across different locations to ensure high-quality services.
  • The ideal candidate should have over 8 years of experience in SRE, handling high-traffic production systems independently, troubleshooting middleware and infrastructure, automation, and regular operations.
  • Experience in management of large-scale services and site reliability engineering principles is essential.
  • The selected candidate should be able to identify process gaps and recommend best practices based on industry standards, provide technical expertise on complex automation and functional issues, and adapt to business needs in terms of working hours.

Key Requirements:

  • Over 8 years of experience in SRE, handling high-traffic production systems independently.
  • Implementing Site Reliability Engineering principles regarding performance, reliability, monitoring, and alerting in Production environments.
  • Management of large-scale services and good knowledge in CI/CD/CT pipeline using tools such as Jenkins/Bamboo and VCS like GIT/SVN.
  • Strong knowledge in LINUX-based system operation and extensive skills in Linux commands.
  • Hands-on experience in Unix/Linux/Shell/Python scripting and experience with automation/configuration management.
  • Experience in developing and operating one or more of the following systems: Kubernetes, Nginx, ELK stack, Hadoop, etc.

Additional Qualifications:

  • Big Data technologies such as Hadoop, NoSQL - Couchbase, Cassandra.
  • Ability to work in a flexible emergency support timing environment based on business requirements.

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