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Astreya

AI-powered managed IT services provider

Senior Network Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in network engineering.
  • Experience and expertise in network operations and service optimization for highly available network infrastructure solutions in a multi-vendor, large-scale, multi-site international environment.
  • Experience with WAN circuits and protocols, including Segment Routing Traffic Engineering, Multiprotocol Label Switching, Dense Wavelength Division Multiplexing, and Dynamic Multipoint Virtual Private Network.
  • Experience with dynamic IP routing protocols, including Open Shortest Path First, Intermediate System to Intermediate System, Enhanced Interior Gateway Routing Protocol, and Border Gateway Protocol.
  • Skills with client and network operating systems such as Linux, Cumulus, Cisco IOS, and Arista OS.
  • Experience with virtualization and overlay technologies, including Virtual Extensible LAN, Multiprotocol BGP, and virtual routing and forwarding.
  • Expertise collaborating with vendors on circuit delivery, problem-solving, and migrations.

Responsibilities

  • Lead point-of-presence builds.
  • Create and maintain high-level and low-level design documentation.
  • Perform Nautobot updates.
  • Manage circuit turn-ups.
  • Oversee network go-lives.
  • Execute data center-to-point-of-presence migrations with minimal downtime.

Desired Qualifications

  • CCIE or equivalent certifications.

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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