Principal Network DevOps Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Principal Network DevOps Engineer based in India. We are seeking a highly skilled engineering leader to transform enterprise network operations through advanced automation, cloud networking, and AI-driven technologies. In this role, you will design and implement intelligent platforms that combine network engineering, infrastructure-as-code, and agentic AI to improve operational efficiency, reliability, and scalability. You will lead strategic initiatives across global network infrastructure while developing autonomous workflows, AI-powered troubleshooting capabilities, and enterprise-wide integration solutions. Working closely with cloud, security, platform, architecture, and operations teams, you will establish engineering standards and drive the adoption of secure, scalable automation practices. You will also help shape the future of network operations by leveraging generative AI, large language models, and intelligent knowledge systems. This is an opportunity to influence technical strategy, solve complex infrastructure challenges, and deliver measurable improvements across a global technology environment.

Accountabilities

• Agentic AI & Intelligent Automation: Design, develop, and deploy AI-powered operational platforms that modernize network and cloud infrastructure management. Build intelligent assistants, decision-support systems, and autonomous or semi-autonomous workflows capable of multi-step reasoning and execution. Implement AI-driven troubleshooting, incident triage, root cause analysis, diagnostics, and operational insights to reduce manual effort and improve service reliability.
• Generative AI & Knowledge Retrieval: Develop enterprise AI capabilities using large language models (LLMs), Retrieval-Augmented Generation (RAG), and context-aware knowledge retrieval systems. Integrate information from documentation, operational records, runbooks, policies, and enterprise applications to improve search, summarization, recommendations, and technical decision-making.
• Network & Cloud Platform Engineering: Lead the design, deployment, operation, and optimization of global network infrastructure and cloud connectivity platforms. Define technical architecture, roadmaps, and network standards while ensuring infrastructure deployments meet security, reliability, scalability, and performance requirements. Contribute to strategic backbone networking initiatives and manage enterprise-scale Secure Access Service Edge (SASE) solutions.
• Network Automation & Infrastructure-as-Code: Develop scalable automation frameworks using Python, APIs, Terraform, AWS CloudFormation, and related technologies. Build reusable automation services, integration components, software development kits, and orchestration capabilities. Automate network provisioning, configuration validation, compliance assessments, governance enforcement, and remediation workflows.
• DevOps, GitOps & CI/CD: Implement modern engineering practices across network platforms and automation services, including GitOps, continuous integration, and continuous delivery pipelines. Establish reusable design patterns, coding standards, and infrastructure-as-code best practices while enabling self-service automation for engineering and operations teams.
• Cloud & Enterprise Integrations: Design and implement secure integrations between cloud platforms, enterprise applications, security tools, IT service management systems, monitoring platforms, and knowledge repositories. Develop API-first, event-driven integration frameworks and workflow orchestration services that support reliable data exchange across distributed systems.
• Security, Governance & Risk Automation: Build automated controls for governance, risk management, compliance, and audit requirements. Implement intelligent approval workflows, policy enforcement, traceability, audit trails, and accountability mechanisms. Ensure AI-driven solutions comply with enterprise security, privacy, and regulatory requirements, incorporating human approval for sensitive or high-risk operational actions.
• Observability & Operational Intelligence: Develop comprehensive observability and telemetry platforms using metrics, logs, traces, and events. Create dashboards, alerts, health monitoring, and performance reporting capabilities. Implement anomaly detection, predictive analytics, a…