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Fulltime Observability Jobs in Indiana (NOW HIRING)

Site Reliability Engineer

Indianapolis, IN · On-site

$54.50 - $72.50/hr

Applicants must be currently authorized to work in the United States on a full-time basis. The Site ... Build and enhance monitoring, alerting, dashboards, observability, and self-healing capabilities.

Applicants must be currently authorized to work in the United States on a full-time basis. The Site ... Build and enhance monitoring, alerting, dashboards, observability, and self-healing capabilities.

$232K - $362K/yr

Evolve operations from reactive monitoring to predictive, AI-enabled observability , proactively ... The full-time equivalent pay range for this position is $232,032.00 - $362,550.00/yr plus ...

Fulltime Observability information

What cities in Indiana are hiring for Fulltime Observability jobs? Cities in Indiana with the most Fulltime Observability job openings:
Storage Platform Operations Engineer

Storage Platform Operations Engineer

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

Full-time

Posted 4 days ago


Job description

Position Overview:

Our client is seeking a Storage Platform Operations Engineer to support global storage and backup operations across enterprise infrastructure platforms. This position is onsite in Indianapolis, Indiana for an initial six-month engagement with the potential to extend as a contractor or convert to a full-time employee role.

The engineer will support storage and backup Infrastructure as a Service capabilities across private cloud and public cloud environments while helping drive automation, observability, and Artificial Intelligence-enabled operations. The role partners closely with storage engineering, infrastructure operations, and platform SMEs to improve availability, reliability, resiliency, and operational efficiency across global environments.

Responsibilities:

  • Lead global storage and backup operations for enterprise infrastructure platforms.
  • Support storage block and file services across private cloud and public cloud environments.
  • Drive Artificial Intelligence operations, event driven automation, and observability initiatives.
  • Improve infrastructure availability and reliability through repeatable operational patterns.
  • Collaborate with storage engineering teams on strategic storage platform direction.
  • Troubleshoot complex storage platform issues in large scale enterprise environments.
  • Partner with Windows and Linux engineers to identify and resolve platform performance issues.
  • Support cloud infrastructure management and infrastructure as code initiatives.
  • Contribute to automation solutions that improve operational efficiency and service reliability.
  • Lead and support large scale global infrastructure projects.
  • Participate in rotational work schedules as required.

Qualifications:

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related technical field.
  • Four to seven years of experience as a Storage Platform Engineer.
  • Extensive hands-on experience with Dell SAN storage and backup solutions in a large enterprise environment.
  • Experience supporting enterprise storage administration and resiliency solutions at scale.
  • Experience with Artificial Intelligence enabled automation tools such as Claude Code, Codex, or similar technologies.
  • Knowledge of CIFS, SMB, NFS, and multi protocol storage environments.
  • Basic Linux administration experience.
  • Experience with automation and configuration management tools such as Ansible or Puppet.
  • Strong analytical, problem solving, and communication skills.
  • Experience collaborating across global teams.
  • Demonstrated success delivering quality solutions within agile team environments.
Preferred Qualifications:
  • Cloud certifications.
  • Experience with Azure and AWS Infrastructure as a Service platforms.
  • Familiarity with Dell storage and backup management tools.
  • Experience leading global infrastructure initiatives.
  • Experience supporting Artificial Intelligence and Machine Learning infrastructure environments.