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 3 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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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