Principal Network DevOps Engineer

Autodesk, Inc; Karnataka; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Autodesk, Inc. is seeking a Principal Network DevOps Engineer to join the Global Network Engineering team in Karnataka.

You will lead AI-powered, autonomous networking platforms and intelligent automation across cloud infrastructure, crafting AI-enabled operations and self-improving systems with LLMs and RAG. You will design, develop, and operationalize AI-driven solutions, collaborate with security, architecture, and cloud teams, and drive enterprise adoption of agentic AI capabilities at

Qualifications

• Bachelor’s Degree in CS or related field, or equivalent work experience.
• 7+ years of experience in software/platform engineering and automation.
• Strong Python and API development skills, with IaC and CI/CD experience.

Responsibilities

• Design and operate AI-driven, autonomous network and cloud platforms.
• Build AI-powered assistants, RAG data retrieval, and workflow automation.
• Develop scalable automation frameworks using Python, APIs, and IaC.
• Implement GitOps and CI/CD across network platforms and automation services.

Skills

Python development

APIs

Automation engineering

Infrastructure-as-Code

GitOps

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor’s Degree in CS or related field

Tools

Terraform

CloudFormation

CI/CD

Kubernetes

Automation platforms

Job description

Job ID26WD98484DepartmentNetwork EngineeringJob Requisition ID #26WD98484Position OverviewAutodesk is looking for a Principal Network DevOps Engineer to join the Global Network Engineering team. Come join us in our journey to provide our customers with a world class SAAS platform, enabling imaginative and industry changing Autodesk products.We are looking for passionate engineers who are fascinated by cloud networking, automation, and AI-driven operations. In this role you will lead the transformation of traditional network operational processes into intelligent, AI-driven, autonomous, and self-improving platforms. The ideal candidate combines strong networking and cloud fundamentals with deep software engineering, Infrastructure-as-Code, enterprise integration, and hands-on experience building Generative AI and Agentic AI systems that drive measurable operational outcomes.You will design, develop, integrate, and operationalize AI-powered solutions that use Large Language Models (LLMs), enterprise knowledge systems, intelligent workflow orchestration, advanced analytics, and automation to modernize network operations and engineering productivity. You will partner closely with Engineering, Security, Architecture, Cloud, Platform, Operations, and Business teams to build scalable, secure, resilient platforms and to drive enterprise adoption of Agentic AI capabilities.The team is crucial to the design & deployment of a consistent, stable infrastructure that both meets network engineering design standards and product goals. You will participate in cross-team and organizational projects, designing, documenting, and implementing new, secure, and automated networking and AI-enabled operational solutions.ResponsibilitiesAgentic AI & Intelligent AutomationDesign and implement AI-driven operational platforms and intelligent automation solutions for network and cloud infrastructureBuild AI-powered assistants, decision-support systems, and operational intelligence capabilitiesDesign autonomous and semi-autonomous workflow orchestration with multi-step reasoning and intelligent workflow executionBuild AI-powered troubleshooting, diagnostics, incident triage, root cause analysis, and operational insight solutionsImplement enterprise knowledge retrieval and Retrieval-Augmented Generation (RAG) capabilities, including context-aware systems that retrieve, correlate, analyze, and act on data from multiple enterprise sourcesDevelop conversational and self-service experiences using modern collaboration and communication platformsDesign human-in-the-loop approval workflows for operational, governance, security, and risk-sensitive activitiesImplement AI observability, evaluation, monitoring, governance, auditability, and lifecycle management capabilitiesEstablish responsible AI, security, compliance, and governance standardsEvaluate emerging AI technologies and drive enterprise adoption of AI-enabled operational capabilitiesNetwork & Platform EngineeringImprove and engage in the entire lifecycle of a network, including inception, network design, qualification, deployment, operation, and optimizationWork on implementation of Autodesk’s Global Networking backbone strategic infrastructure initiativesDefine and drive the technical vision, roadmap, and architecture for Autodesk’s global network and cloud connectivity platformsCreate and update our network standards and ensure that the network is deployed to these standardsDesign and develop scalable automation frameworks using Python, APIs, Infrastructure-as-Code (Terraform, CloudFormation, or similar), and modern automation technologiesBuild reusable automation services, integration components, SDKs, and orchestration capabilitiesImplement GitOps and CI/CD workflows across network platforms and automation servicesAutomate provisioning, validation, compliance assessment, governance controls, and remediation workflowsDevelop self-service automation platforms for engineering and operational teamsEstablish engineering standards, design patterns, and best practices for network automation, Infrastructure-as-Code, and cloud networkingManage an enterprise scale SASE solutionCloud & Enterprise IntegrationsDesign and develop integrations across enterprise systems, cloud platforms, operational tools, security platforms, ITSM tools, and knowledge repositoriesBuild scalable connector and API integration frameworks using event-driven and API-first architecturesDesign secure data exchange and workflow orchestration services across distributed systemsCollaborate with platform and cloud engineering teams to build scalable, resilient, and secure solutionsKnowledge Management & AI EnablementBuild enterprise knowledge platforms that use structured and unstructured sources, including documentation, runbooks, policies, standards, and operational recordsDevelop knowledge ingestion, enrichment, classification, retrieval, search, summarization, and recommendation capabilitiesImprove knowledge discoverability and operational decision-making through intelligent knowledge systemsSecurity, Risk & Governance AutomationBuild automation supporting governance, risk, compliance, and audit requirements, including intelligent approval workflows and policy enforcementDesign AI solutions that comply with enterprise security, privacy, and regulatory requirementsImplement audit trails, traceability, explainability, and operational accountability controlsCollaborate with Security and Compliance teams to establish enterprise AI governance standardsObservability, Analytics & Operational IntelligenceBuild observability, telemetry, monitoring, reporting, and operational intelligence platformsCreate dashboards, alerts, health monitoring, and performance measurement capabilitiesImplement anomaly detection, predictive analytics, and operational reporting using metrics, logs, traces, events, and AI-driven insightsEnable proactive operational management through intelligent analyticsPreferred QualificationsBachelor’s Degree in CS or related field, or equivalent work experience7+ years of experience in software engineering, platform engineering, automation engineering, cloud engineering, infrastructure or network engineering, or related technical disciplinesStrong expertise in Python development, API development, automation engineering, and software designHands-on experience with Infrastructure-as-Code (Terraform, CloudFormation, or similar), CI/CD, GitOps, and enterprise automation platformsExperience designing and implementing large-scale enterprise automation solutionsExperience developing integrations across enterprise applications, cloud services, APIs, and operational platformsStrong understanding of cloud platforms including AWS, Azure, and/or GCP, with working knowledge of cloud networking and hybrid connectivityDemonstrated history of AWS experience with Transit Gateway, Direct Connect, Lambda, Route 53, VPC, and Cloud WANKnowledge of firewalls, security configurations, and troubleshootingStrong analytical, troubleshooting, problem-solving, and system design skillsProven experience leading large-scale infrastructure initiatives and influencing technical strategy across multiple teamsProven ability to work effectively within an Agile frameworkSkilled at presenting technical policies, proposals, and designsExcellent communication, collaboration, and stakeholder engagement skillsAbility to manage long term, project/milestone-based work with multiple teamsPreferred: Experience designing and implementing Agentic AI solutions and intelligent automation platformsPreferred: Experience with Generative AI technologies and Large Language Models (LLMs)Preferred: Experience developing AI-powered assistants, workflow automation solutions, or intelligent operational platformsPreferred: Understanding of Retrieval-Augmented Generation (RAG), enterprise search, and knowledge integration patternsPreferred: Experience integrating AI solutions with APIs, operational platforms, monitoring systems, ITSM tools, and enterprise applicationsPreferred: Familiarity with AI governance, security, compliance, auditability, explainability, and responsible AI practicesPreferred: Experience building conversational experiences and self-service automation platformsPreferred: Experience developing operational analytics, decision-support, workflow orchestration, or operational intelligence solutionsPreferred: Experience supporting enterprise-scale AI adoption initiativesPreferred: Cisco CCNAPreferred: Cisco CCNP #LI-MR2Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.