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 Strategy and Assessment

Good to have skills : NA
Minimum 12 year(s) of experience is required

Educational Qualification : 15 years full time education

ROLE OVERVIEW
15+ Years of experience
Associate Directory level - advisor leading enterprise IT infrastructure engagements spanning Cloud, AIOps, Generative AI, and Agentic AI from business case through architecture and client advisory. Client-facing at CxO level with active pre-sales involvement.
Key responsibilities

Develop business cases, TCO/ROI models, and FinOps strategies for cloud, AIOps, and AI transformation programmes.

Lead infrastructure maturity, cloud readiness, GenAI readiness, and Agentic AI assessments with gap analysis and roadmaps.

Architect cloud solutions (AWS, Azure, GCP) including landing zones, multi-cloud governance, and migration planning.

Design AIOps frameworks: observability, event correlation, auto-remediation, CMDB enrichment, and ITSM integration.

Advise on Generative AI adoption: RAG pipelines, vector databases, LLM fine-tuning, prompt engineering, and AI-ready infrastructure (GPU, InfiniBand, MLOps).

Design Agentic AI architectures: multi-agent orchestration, tool-use frameworks, autonomous workflows integrated with ITSM/ITOM.

Produce architecture deliverables: HLD, LLD, reference architectures, solution blueprints, and ADRs.

Design enterprise networks: SD-WAN, MPLS, SASE, ZTNA, NSX-T, and zero-trust security frameworks.

Serve as primary client-facing technical authority manage CxO relationships and steering committee representation.

Lead pre-sales: RFP/RFI responses, technical discovery, PoC proposals, solution demos, and bid governance.

Partner with sales teams on opportunity qualification (MEDDIC), SOW development, and commercial proposals.

Mentor consultants, contribute to practice development and repeatable pre-sales asset creation.

TECHNICAL SKILLS

Generative AI Azure OpenAI, AWS Bedrock, Vertex AI, GPT-4/Claude, RAG, vector DBs (Pinecone, pgvector), prompt engineering, LLM fine-tuning
Agentic AI AutoGen, CrewAI, LangGraph, LangChain, LlamaIndex, MCP, tool-use frameworks, multi-agent orchestration, autonomous workflows
AI Infra NVIDIA H100/A100, InfiniBand/RoCE, MLflow, Kubeflow, SageMaker, vLLM, Triton, AI observability, MLOps platforms
Cloud AWS (EKS, VPC, Direct Connect), Azure (Landing Zones, AKS, ExpressRoute), GCP, multi-cloud governance, FinOps, CAF
AIOps Dynatrace, Splunk ITSI, ServiceNow ITOM, Moogsoft, BigPanda, Prometheus, Grafana, OpenTelemetry, CMDB
Network SD-WAN (Cisco/VMware/Fortinet), MPLS, BGP, SASE, ZTNA, NSX-T, Cisco ACI, Infoblox, SDP
Compute VMware vSphere/vSAN/NSX, Nutanix HCI, Kubernetes, OpenShift, Terraform, Ansible, GitOps, Docker
Security Zero Trust, ISO 27001, SOC 2, NIST CSF, IAM/PAM, EU AI Act, AI governance, SIEM, micro-segmentation
Frameworks TOGAF, AWS Well-Architected, Azure CAF, ITIL 4, COBIT, SAFe, DevSecOps, Zachman

TECHNICAL SKILLS
Domain Technologies Skills
Generative AI Azure OpenAI, AWS Bedrock, Vertex AI, GPT-4/Claude, RAG, vector DBs (Pinecone, pgvector), prompt engineering, LLM fine-tuning
Agentic AI AutoGen, CrewAI, LangGraph, LangChain, LlamaIndex, MCP, tool-use frameworks, multi-agent orchestration, autonomous workflows
AI Infra NVIDIA H100/A100, InfiniBand/RoCE, MLflow, Kubeflow, SageMaker, vLLM, Triton, AI observability, MLOps platforms
Cloud AWS (EKS, VPC, Direct Connect), Azure (Landing Zones, AKS, ExpressRoute), GCP, multi-cloud governance, FinOps, CAF
AIOps Dynatrace, Splunk ITSI, ServiceNow ITOM, Moogsoft, BigPanda, Prometheus, Grafana, OpenTelemetry, CMDB
Network SD-WAN (Cisco/VMware/Fortinet), MPLS, BGP, SASE, ZTNA, NSX-T, Cisco ACI, Infoblox, SDP
Compute VMware vSphere/vSAN/NSX, Nutanix HCI, Kubernetes, OpenShift, Terraform, Ansible, GitOps, Docker
Security Zero Trust, ISO 27001, SOC 2, NIST CSF, IAM/PAM, EU AI Act, AI governance, SIEM, micro-segmentation
Frameworks TOGAF, AWS Well-Architected, Azure CAF, ITIL 4, COBIT, SAFe, DevSecOps, Zachman
REQUIRED QUALIFICATIONS

15+ years IT infrastructure 5+ years consulting / advisory.

Proven cloud AIOps transformation programme delivery.

Business case development and executive stakeholder engagement.

Architecture deliverable ownership: HLD, LLD, ADRs, blueprints.

Strong client-facing, pre-sales, and bid management experience.

TOGAF, ITIL 4, or equivalent framework proficiency.
PREFERRED QUALIFICATIONS

AWS / Azure / GCP Professional certification CCIE/CCDE.

Hands-on GenAI platforms: Azure OpenAI, Bedrock, Vertex AI.

Agentic AI frameworks: LangChain, AutoGen, CrewAI, LangGraph.

RAG pipeline design, vector DB implementation, LLM fine-tuning.

Regulated industry experience: FSI, healthcare, government.

Big 4 or boutique consulting background. MBA / MSc advantageous.
KEY ATTRIBUTES

Executive presence confident at board, steering committee, and design authority level.

Commercial acumen translates complexity into business value drives pre-sales win rates.

Structured communicator boardroom decks, technical docs, winning bids.

Intellectually curious Generative AI, Agentic AI, cloud-native, platform engineering.

CONSULTING SERVICE LINES

Advisory- Cloud AI strategy
AIOps operating model
GenAI use-case advisory
Agentic AI model design
Vendor selection
Business case FinOps

Assessment

Infra maturity review
Cloud readiness
GenAI/AI readiness
Agentic AI maturity
AIOps readiness
DR/BC gap analysis

Design Arch

Cloud landing zones
AI-ready infra design
Agentic AI platform
RAG vector DB design
HLD / LLD / ADRs
AIOps observabilityDD

15 years of continue educations is required

Qualification15 years full time education