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IP​/MPLS Network Engineer

Job in Middletown, Monmouth County, New Jersey, 07748, USA
Listing for: MACHINE LEARNING TECHNOLOGIES LLC
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Network Engineer, IT Specialist
Salary/Wage Range or Industry Benchmark: 82656 - 123984 USD Yearly USD 82656.00 123984.00 YEAR
Job Description & How to Apply Below

Job Overview

Job : J52259

Job Title:

IP/MPLS Network Engineer

Location:

Middletown, NJ
Duration: 9 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Key Responsibilities
  • Assist in the configuration, testing, and troubleshooting of service provider‑grade routers and switches.
  • Support routing protocol operations including IS‑IS, BGP, Segment Routing, and MPLS in lab and production environments.
  • Perform network testing using tools such as Ixia and Spirent to validate performance, scalability, and reliability.
  • Capture and analyze logs during testing phases to identify issues and document findings.
  • Work with NETCONF, gNMI, and streaming telemetry for network configuration and monitoring.
  • Participate in performance monitoring and reporting using telemetry and analytics platforms.
  • Maintain structured documentation of test cases, results, configurations, and troubleshooting steps.
Qualifications
  • Hands‑on experience with service provider or telecom network environments.
  • Good understanding of routing protocols, MPLS, and traffic engineering.
  • Exposure to automation tools (Python/Ansible) is an added advantage.
Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. The company will not make any employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

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