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.