Senior Cloud Migration Engineer - Network & AI-Driven Cloud Solutions

Cloud Migration Engineer

Project Role : Cloud Migration Engineer
Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes.
Must have skills : Cloud Network Implementation
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Overview The Cloud Network Sr. Analyst Engineer is a senior hands-on engineer responsible for designing, implementing, and optimizing advanced network architectures across hybrid and multi-cloud environments including AWS, Azure, GCP, and OpenShift (OCP). This role goes beyond traditional cloud networking by leveraging AI / GenAI and Agentic AI frameworks to design intelligent, automated, and self-optimizing network solutions. The engineer collaborates closely with architects, DevOps, security, and application teams to deliver resilient, scalable, and AI-assisted network platforms aligned with enterprise standards. Key Responsibilities - Lead implementation of advanced cloud networking solutions, including: - Transit Gateways - Global VPC/VNet peering - Hybrid and multi-cloud interconnects - Design and build AI-assisted network solutions for routing optimization, fault detection, and performance tuning. - Translate High-Level Designs (HLDs) into actionable Low-Level Designs (LLDs) and implementation plans. - Lead deployment and troubleshooting of: - Network Virtual Appliances (NVAs) - Firewalls - SD-WAN and routing components - Perform capacity planning and traffic analysis, using AI/ML insights to predict growth and optimize performance. - Lead resolution of high-impact network incidents, including RCA and post-incident improvements. - Ensure security, compliance, and governance controls are embedded into network implementations. - Mentor junior engineers and contribute to standardization and knowledge sharing. Cloud-Native & Virtual Network Architecture - Design and implement cloud-native networking constructs: - VPC / VNet / GCP VPC - Subnets, routing tables, gateways - Segmentation and isolation strategies - Validate and peer-review LLDs for operational feasibility and scalability. - Implement and test virtual networking components across regions and accounts. - Ensure network architectures support AI/ML workloads, latency-sensitive applications, and high-throughput data paths. Hybrid Connectivity & Third-Party Integration - Deploy and optimize: - Site-to-Site VPN, Client VPN, Direct Connect/ExpressRoute/Cloud Interconnect - Integrate third-party NVAs: - Firewalls,SD-WAN,Proxies - Validate encryption, authentication, routing policies, and failover mechanisms. - Coordinate with vendors and partners for issue resolution and optimization. DevOps for Network Automation (AI-Augmented) - Develop and maintain Infrastructure as Code (IaC) for network provisioning using: - Terraform, Ansible, CloudFormation / ARM / Bicep - Integrate network automation into CI/CD pipelines. - Review IaC developed by junior engineers for Accuracy, Scalability, Security compliance - Use AI/GenAI tools to Validate configurations, detect drift, Recommend optimization actions Troubleshooting & Performance Engineering - Lead troubleshooting of complex hybrid and multi-cloud network issues. - Perform diagnostics using Flow logs, Packet captures, Telemetry and monitoring tools - Implement AI-driven performance tuning strategies based on traffic patterns and latency metrics. - Author RCA reports and continuously improve network reliability. Load Balancing & Content-Based Routing - Implement and manage ALB / NLB/Azure Application Gateway/GCP Load Balancers - Configure advanced routing Path-based routing, Header-based routing, iRules - Validate routing logic against application and security requirements. Configuration Discovery & Translation - Analyze existing firewall rules, NAT policies, and load balancer configurations. - Translate legacy configurations into cloud-native equivalents. - Maintain version-controlled repositories of network configurations. - Use Python and AI-assisted automation for configuration discovery and migration. Compliance & Configuration Consistency - Ensure network implementations meet enterprise compliance and regulatory requirements. - Implement tagging, logging, and policy enforcement mechanisms. - Detect configuration drift and enforce consistency across environments. - Collaborate with governance and security teams for audit readiness. AI / GenAI & Agentic Networking - Use Generative AI to: - Analyze network telemetry - Assist in design decisions - Recommend routing and segmentation strategies - Hands-on experience with: - LLMs - Embeddings - Vector databases - Apply Agentic AI frameworks to: - Automate diagnostics - Trigger self-healing actions - Optimize network operations - Strong understanding of: - AI lifecycle - ML fundamentals (supervised & unsupervised) - NLP concepts for intent-based networking - Proficient in prompt engineering and AI evaluation techniques. Mandatory Skills - Python (Programming Language) advanced scripting, automation, API integrations, AI workflows - Ansible configuration management and orchestration - Terraform for network IaC - Advanced cloud networking across AWS, Azure, GCP, OpenShift - Strong fundamentals in TCP/IP, BGP, routing, segmentation, and security Communication & Collaboration - Work closely with: - Cloud Architects - Security Architects - Application and DevOps teams - Translate complex technical designs into clear implementation plans. - Mentor junior engineers and promote engineering best practices. - Participate in architecture reviews and implementation governance forums. Experience & Qualifications - 5 8 years of experience in cloud and hybrid networking. - Proven experience designing and implementing advanced multi-cloud network solutions. - Strong exposure to AI / GenAI-assisted automation and network optimization. - Experience working in large-scale enterprise or SI-led environments. Certifications Candidates must hold at least TWO (2) Professional-level Cloud Certifications from the following: - AWS - AWS Certified Solutions Architect Professional - AWS Certified Advanced Networking Specialty (Highly Preferred) - Microsoft Azure - Azure Solutions Architect Expert (AZ-305) - Azure Network Engineer Associate (AZ-700) - Google Cloud Platform - Google Professional Cloud Architect - Google Professional Cloud Network Engineer - HashiCorp Terraform Certification - Terraform Associate (Mandatory) Good-to-Have / Preferred Certifications The following certifications are strongly preferred and add weight to advanced hybrid, security, automation, and AI-driven networking expertise: Networking & Security - AWS Certified Advanced Networking Specialty - Cisco CCNP / CCIE (Enterprise, Security, or Data Center) - Palo Alto PCNSE / Fortinet NSE (NGFW & hybrid security) - VMware NSX-T Certification - Avi Networks (NSX Advanced Load Balancer) Kubernetes & Cloud-Native - Certified Kubernetes Administrator (CKA) - Certified Kubernetes Security Specialist (CKS) - Red Hat OpenShift Specialist DevOps & Automation - Ansible Automation Platform Certification - Azure DevOps Engineer Expert (AZ-400) - GitHub Actions (GH-200) AI / GenAI & Emerging Technologies - AWS Certified Machine Learning Specialty - Google Professional Machine Learning Engineer - Azure AI Engineer Associate - Vendor-neutral GenAI / LLM certifications (OpenAI, DeepLearning.AI, etc.) 15 Year of Education to be completed - Resource needs to be AI Ready.