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Astreya

AI-powered managed IT services provider

Network Operations Engineer 1

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeDenver, CO, USA$59.8k - $94.4k

About the Job

Requirements

  • At least 1 year of experience in Datacenter Operations and/or Network Operations Center (NOC) roles.
  • Strong troubleshooting skills for rack switches, spine switches, and rack configurations.
  • Familiarity with network hardware and protocols.
  • Experience processing technical documentation and Return Merchandise Authorization (RMA) requests.
  • Ability to work with vendors such as Arista, Cisco, Juniper, Celestica, and Nvidia.
  • Ability to work in a fast-paced, team-oriented environment.

Responsibilities

  • Monitor, maintain, and troubleshoot datacenter network infrastructure, including rack switches and spine switches.
  • Perform rack configuration tasks and ensure optimal network performance and reliability.
  • Respond to network incidents and outages, providing rapid diagnosis and resolution in a Network Operations Center setting.
  • Process and manage technical documentation, including network diagrams, configuration files, and operational procedures.
  • Handle Return Merchandise Authorization (RMA) requests and coordinate with vendors for hardware replacements and repairs.
  • Collaborate with cross-functional teams to support datacenter operations and network projects.
  • Maintain accurate records of network assets, incidents, and vendor communications.

Desired Qualifications

  • Certifications such as CCNA, JNCIA, or equivalent.
  • Knowledge of datacenter best practices and operational standards.

About the Company

Astreya

AI-powered managed IT services provider

Astreya provides IT managed services for large enterprises, designing, deploying, and running their technology environments. Its offerings cover cloud, infrastructure, security, digital workplace services, and AI-powered support, including an AI-driven service desk and an AI Ops platform. It differentiates itself by tightly integrating with a client’s existing stack and partnering with platforms like Google Cloud, Databricks, and ServiceNow to deliver end-to-end managed IT with in-house AI capabilities. Its goal is to help enterprises run IT more efficiently and securely while expanding impact through partnerships and acquisitions, including supporting Cognizant's AI-first managed services strategy.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2001

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