Automation Network Engineer — AI & Self-Healing (Hybrid, Contract)

Mitchell Martin Inc.; Jersey City (NJ); Hybrid; USD 83,000 - 90,000; Full time

Job summary

Mitchell Martin Inc. is seeking a Network System Engineer in Jersey City, NJ for a hybrid, contract role. You will develop automation and AI solutions for network systems, work with backend services, and collaborate with multiple teams to ensure reliability.

A strong background in generic programming languages and backend data stores is required. Responsibilities include designing automation for event correlation, enabling self-healing, and integrating with monitoring systems.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8-12 years of experience in network engineering or related fields, including AI/ML solutions.
• Strong programming skills in a generic programming language.
• Experience with backend frameworks and data stores.
• Understanding of network operations and automation integration.

Responsibilities

• Design and develop automation services for network event correlation and troubleshooting.
• Build automation supporting self-healing and operational reliability.
• Integrate services with monitoring systems for real-time data consumption.
• Collaborate with operations teams to identify automation opportunities.
• Document designs and guidelines for operational use.

Skills

Programming

Backend frameworks

AI/ML concepts

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Python

Django

Redis

REST APIs

Machine Learning

Data Engineering

Monitoring Systems

Job description

Mitchell Martin Inc. is seeking a Network System Engineer in Jersey City, NJ for a hybrid, contract role. You will develop automation and AI solutions for network systems, work with backend services, and collaborate with multiple teams to ensure reliability.

A strong background in generic programming languages and backend data stores is required. Responsibilities include designing automation for event correlation, enabling self-healing, and integrating with monitoring systems.