Senior Cloud Engineer

1. Cloud Infrastructure & Landing Zone Engineering

Design and build enterprise Cloud Landing Zone architecture — account/organization structure, guardrails, network topology, and hybrid connectivity — aligned to the AWS Well-Architected Framework
Implement network architecture: VPC design, hub-and-spoke/transit gateway topologies, hybrid connectivity (VPN/Direct Connect), DNS, segmentation, and security zoning
Define and implement governance frameworks: IAM/RBAC models, security baselines, and cost-governance guardrails for multi-account environments
Build and maintain Infrastructure as Code (Terraform, CloudFormation) to deploy and enforce the agreed architecture
Produce and present architecture decision records, HLD/LLD, and as-built documentation to both engineering teams and client executives

2. Migration & Modernization

Lead migration discovery and assessment using the 7 R's framework, translating findings into a prioritized, business-justified roadmap
Develop migration business cases, TCO models, and executive-ready roadmaps that connect technical plans to cost and risk
Build and operate migration factory tooling (e.g., AWS Transform/MGN, DMS, App2Container) for large-scale, multi-hundred-to-thousand-server programs
Execute lift-and-shift migrations and modernization work — containerization, PaaS adoption, database modernization — hands-on
Own cutover execution and post-migration validation, running the runbook from planning through go-live

3. AI Solutions Engineering

Design and build AI/ML solutions using cloud-native AI services such as AWS Bedrock, from use-case definition through implementation
Architect and implement generative AI solutions — RAG, agentic workflows, model selection and integration, prompt design — with governance and guardrails built in from the outset
Lead AI use-case ideation workshops with client stakeholders, translating business problems into feasible, prioritized initiatives

4. Consulting & Client Engagement

Act as a trusted advisor to client executives and technical leaders across the cloud and AI adoption journey, backing the advice with the credibility of having built it personally
Plan and facilitate technical workshops, architecture design sessions, and migration/AI discovery sessions with senior stakeholders
Support pre-sales engagements: solution scoping, proposal development, SOW authoring, and technical presentations to prospective clients
Deliver prescriptive, outcome-oriented recommendations that build long-term client trust and expand the advisory relationship over time

Team Role & Key Contribution

Serve as a hands-on technical lead across infrastructure, migration, and AI workstreams within Professional Services — building solutions personally, not only directing others
Mentor and develop junior consultants/engineers across the Infra/MM and AI practice areas
Lead architecture and governance review boards across client engagements
Contribute to practice development — methodology, reusable frameworks, and knowledge assets shared across the team

Teamwork & Collaboration

Partner with Pre-Sales, Network, Security, DevOps, and Data/AI teams to shape end-to-end client solutions
Translate business requirements into secure, scalable, and cost-effective cloud and AI recommendations
Coordinate cross-functional delivery and operational handovers between consulting, engineering, and managed-service teams
Foster shared accountability across internal teams and client engagements

Bachelor's degree in Computer Engineering, Computer Science, or a related field
5–7 years in cloud infrastructure/engineering roles, including hands-on production experience building Landing Zone and network environments (AWS or Huawei Cloud primary)
Demonstrated experience leading and executing migration assessment and delivery using the 7R framework, including lift-and-shift and modernization
Hands-on experience building AI/ML solutions with cloud-native services (e.g., AWS Bedrock), including GenAI/RAG and agentic solution implementation
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent) for building and deploying infrastructure
Prior experience in consulting, pre-sales, or solutions architecture roles, engaging directly with client stakeholders
Strong networking knowledge (TCP/IP, routing, firewall, DNS, hybrid connectivity)
Experience developing business cases, TCO models, or executive-facing proposals

AWS Certified Solutions Architect (Associate/Professional); AI/ML certification (e.g., AWS Certified AI Practitioner/Machine Learning)
Multi-cloud exposure (e.g., Huawei Cloud HCIP/HCIE) an advantage, not a requirement
Experience with containers and Kubernetes (EKS or equivalent)
Experience in Data Center or Managed Service Provider environments
Track record of facilitating technical workshops or architecture design sessions directly with clients
Experience authoring SOWs, proposals, or other consulting deliverables for enterprise clients

Executive presence — able to advise C-level and senior technical stakeholders with equal credibility
Strong consultative mindset: listens first, diagnoses the real problem, and frames options rather than pushing a single answer
Confident workshop and discovery-session facilitation, able to build consensus among stakeholders with competing priorities
Structured communication and storytelling — translates complex cloud/AI concepts into business narratives and executive-ready summaries
Business acumen — connects technical recommendations to cost, risk, and value outcomes
Proposal and business-writing skills: SOWs, business cases, and client-ready decks
Negotiation and stakeholder management across client and internal delivery teams
Comfortable operating with ambiguity, structuring a path forward under time pressure
Relationship-building orientation — treats each engagement as the start of an ongoing advisory relationship, not a one-off delivery
Coaching and mentoring mindset toward junior team members

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