Senior Network Automation Engineer
Apex Systems Inc
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.
- 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.
- 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.
Vacancy posted 5 days ago
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