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Senior Network Automation Engineer

  • Source: LinkedIn
  • Apex Systems
  • Hybrid
  • Jersey City
  • Senior

Job Description

Job#: 3053340 Job Description: Senior Network Automation Engineer

Location: Jersey City, NJ/Charlotte, NC/Chandler, AZ (Hybrid)

Employment Type: Contract

Contract Duration: 12 Months

Role Overview

The Senior Network Automation Engineer is responsible for building and maintaining automation, AI, and machine learning capabilities that enable intelligent network event handling, incident self-healing, predictive insights, and AI-assisted troubleshooting. This role focuses on developing backend services and workflows that analyze network signals, correlate events, and trigger automated diagnostics or remediation actions. This is a hands-on, software-centric role combining network engineering, applied AI/ML, and MLOps.

Key Responsibilities

  • Design and develop network automation services for event correlation, intelligent troubleshooting, and automated remediation.
  • Build automation that supports self-healing use cases, such as automated checks and safe remediation actions for recurrent network issues.
  • Develop backend automation services using Python and Django, with supporting data stores like Redis for state management.
  • Integrate automation services with monitoring, telemetry, and alerting systems to consume events and metrics.
  • Partner with Network Operations teams to identify repeatable operational patterns suitable for automation.
  • Ensure automation workflows include guardrails, validation, and rollback logic for safe use in production environments.
  • Design and productionize machine learning solutions for anomaly detection, event correlation, and predictive maintenance.
  • Develop AI-assisted troubleshooting capabilities using large language models and retrieval-augmented generation.
  • Build and maintain MLOps pipelines for model validation, deployment, monitoring, and retraining.
  • Create APIs and reusable services that integrate AI/ML inference with IT service-management platforms.

Required Qualifications Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.

Experience: This position requires 8–12 years of experience in network engineering, network operations, automation, telemetry, monitoring, data engineering, or applied analytics. This must include demonstrated experience delivering AI/ML-enabled solutions into production.

Technical Skills:

  • Strong software development experience in Python, including experience with REST APIs, message queues, or workflow engines.
  • Experience building backend services using Django or similar frameworks.
  • Hands-on experience using Redis or equivalent in-memory data stores.
  • Solid understanding of enterprise network operations, including routing, switching, wireless, and SD-WAN concepts.
  • Strong understanding of machine learning concepts such as time-series analysis, anomaly detection, and classification.
  • Hands-on experience with Python data and ML libraries such as pandas, NumPy, and scikit-learn, plus a deep-learning framework like PyTorch or TensorFlow.
  • Experience developing generative AI solutions, including prompt engineering, embeddings, vector search, and retrieval-augmented generation.
  • Experience with AI/ML development and operational tooling such as Jupyter, MLflow, containers, and Kubernetes.

Additional Information: This role has a hybrid schedule requirement of a minimum of three days onsite per week. This position is a potential contract-to-hire opportunity and is not open to candidates who require sponsorship now or in the future.

Preferred Qualifications

  • Experience with event correlation, rule-based automation, or decision-oriented workflows.
  • Familiarity with observability data (metrics, logs, events) as automation inputs.
  • Exposure to Infrastructure as Code and CI/CD practices.
  • Understanding of IT service management and incident workflows.
  • Experience applying AIOps techniques to network assurance or autonomous operations.
  • Familiarity with graph analytics or knowledge graphs for root-cause analysis.

*Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is r…

Skills

  • Python
  • Django
  • Redis
  • guardrails
  • applied-analytics
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch
  • Tensorflow
  • jupyter
  • ml-flow
  • mlflow
  • Kubernetes
  • microsoft-graph

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