Principal Network DevOps Engineer

• 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
• 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
• Improve and engage in the entire lifecycle of a network, including inception, network design, qualification, deployment, operation, and optimization
• Work on 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 network standards and ensure the network is deployed to these standards
• Design and develop scalable automation frameworks using Python, APIs, Infrastructure-as-Code, 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
• 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
• Build enterprise knowledge platforms using structured and unstructured sources
• Develop knowledge ingestion, enrichment, classification, retrieval, search, summarization, and recommendation capabilities
• Improve knowledge discoverability and operational decision-making through intelligent knowledge systems
• Build automation supporting governance, risk, compliance, and audit requirements
• 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
• 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 through intelligent analytics

• Bachelor’s Degree in CS or related field, or equivalent work experience
• 7+ years of experience in software engineering, platform engineering, automation engineering, cloud engineering, infrastructure or network engineering, or related technical disciplines
• Strong expertise in Python development, API development, automation engineering, and software design
• Hands-on experience with Infrastructure-as-Code (Terraform, CloudFormation, or similar), CI/CD, GitOps, and enterprise automation platforms
• Experience designing and implementing large-scale enterprise automation solutions
• Experience developing integrations across enterprise applications, cloud services, APIs, and operational platforms
• Strong understanding of cloud platforms including AWS, Azure, and/or GCP, with working knowledge of cloud networking and hybrid connectivity
• Demonstrated history of AWS experience with Transit Gateway, Direct Connect, Lambda, Route 53, VPC, and Cloud WAN
• Knowledge of firewalls, security configurations, and troubleshooting
• Strong analytical, troubleshooting, problem-solving, and system design skills
• Proven experience leading large-scale infrastructure initiatives and influencing technical strategy across multiple teams
• Proven ability to work effectively within an Agile framework
• Skilled at presenting technical policies, proposals, and designs
• Excellent communication, collaboration, and stakeholder engagement skills
• Ability to manage long term, project/milestone-based work with multiple teams
• Preferred: Experience designing and implementing Agentic AI solutions and intelligent automation platforms
• Preferred: Experience with Generative AI technologies and Large Language Models (LLMs)
• Preferred: Experience developing AI-powered assistants, workflow automation solutions, or intelligent operational platforms
• Preferred: Understanding of Retrieval-Augmented Generation (RAG), enterprise search, and knowledge integration patterns
• Preferred: Experience integrating AI solutions with APIs, operational platforms, monitoring systems, ITSM tools, and enterprise applications
• Preferred: Familiarity with AI governance, security, compliance, auditability, explainability, and responsible AI practices
• Preferred: Experience building conversational experiences and self-service automation platforms
• Preferred: Experience developing operational analytics, decision-support, workflow orchestration, or operational intelligence solutions
• Preferred: Experience supporting enterprise-scale AI adoption initiatives
• Preferred: Cisco CCNA
• Preferred: Cisco CCNP

• Annual cash bonuses may be included in the compensation package
• Commissions may be included for sales roles
• Stock grants may be included
• Comprehensive benefits package
• In-person onboarding and/or in-person ID verification may be available/required