Principal Network DevOps Engineer

Agentic AI & Intelligent Automation

• Design and implement AI-driven operational platforms and intelligent automation solutions for network and cloud infrastructure
• Build AI-powered assistants, decision-support systems, and operational intelligence capabilities
• Design autonomous and semi-autonomous workflow orchestration with multi-step reasoning and intelligent workflow execution
• Build AI-powered troubleshooting, diagnostics, incident triage, root cause analysis, and operational insight solutions
• Implement enterprise knowledge retrieval and Retrieval-Augmented Generation (RAG) capabilities, including context-aware systems that retrieve, correlate, analyze, and act on data from multiple enterprise sources
• Develop conversational and self-service experiences using modern collaboration and communication platforms
• Design human-in-the-loop approval workflows for operational, governance, security, and risk-sensitive activities
• Implement AI observability, evaluation, monitoring, governance, auditability, and lifecycle management capabilities
• Establish responsible AI, security, compliance, and governance standards
• Evaluate emerging AI technologies and drive enterprise adoption of AI-enabled operational capabilities

Network & Platform Engineering

• Improve and engage in the entire lifecycle of a network, including inception, network design, qualification, deployment, operation, and optimization
• Work on implementation of Autodesk’s Global Networking backbone strategic infrastructure initiatives
• Define and drive the technical vision, roadmap, and architecture for Autodesk’s global network and cloud connectivity platforms
• Create and update our network standards and ensure that the network is deployed to these standards
• Design and develop scalable automation frameworks using Python, APIs, Infrastructure-as-Code (Terraform, CloudFormation, or similar), and modern automation technologies
• Build reusable automation services, integration components, SDKs, and orchestration capabilities
• Implement GitOps and CI/CD workflows across network platforms and automation services
• Automate provisioning, validation, compliance assessment, governance controls, and remediation workflows
• Develop self-service automation platforms for engineering and operational teams
• Establish engineering standards, design patterns, and best practices for network automation, Infrastructure-as-Code, and cloud networking
• Manage an enterprise scale SASE solution

Cloud & Enterprise Integrations

• Design and develop integrations across enterprise systems, cloud platforms, operational tools, security platforms, ITSM tools, and knowledge repositories
• Build scalable connector and API integration frameworks using event-driven and API-first architectures
• Design secure data exchange and workflow orchestration services across distributed systems
• Collaborate with platform and cloud engineering teams to build scalable, resilient, and secure solutions

Knowledge Management & AI Enablement

• Build enterprise knowledge platforms that use structured and unstructured sources, including documentation, runbooks, policies, standards, and operational records
• Develop knowledge ingestion, enrichment, classification, retrieval, search, summarization, and recommendation capabilities
• Improve knowledge discoverability and operational decision-making through intelligent knowledge systems

Security, Risk & Governance Automation

• Build automation supporting governance, risk, compliance, and audit requirements, including intelligent approval workflows and policy enforcement
• Design AI solutions that comply with enterprise security, privacy, and regulatory requirements
• Implement audit trails, traceability, explainability, and operational accountability controls
• Collaborate with Security and Compliance teams to establish enterprise AI governance standards

Observability, Analytics & Operational Intelligence

• Build observability, telemetry, monitoring, reporting, and operational intelligence platforms
• Create dashboards, alerts, health monitoring, and performance measurement capabilities
• Implement anomaly detection, predictive analytics, and operational reporting using metrics, logs, traces, events, and AI-driven insights
  • Enable proactive operational management thr