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.