Cloud IAM Engineer (AWS, Azure, GCP)
8-12+ years experience in cloud architecture, infrastructure engineering, or enterprise architecture 5+ years of hands-on experience with major cloud platforms (AWS, Azure, or Google Cloud Platform) 3+ years in technical leadership or principal engineer roles Experience designing and implementing large-scale cloud transformations Experience with multi-cloud or hybrid cloud architectures Experience in payments, financial services, or regulated industries preferred Track record of architecting solutions supporting thousands of concurrent users Technical Skills Cloud Platform Expertise:
- Expert-level knowledge of AWS (EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, CloudFormation)
- Strong proficiency in Azure (VMs, Storage, SQL Database, Functions, AKS, VNet, Azure AD, ARM)
- Working knowledge of Google Cloud Platform (Compute Engine, Cloud Storage, Cloud SQL, GKE, VPC)
- Experience with cloud migration tools (AWS Migration Hub, Azure Migrate, CloudEndure)
Infrastructure & Automation:
- Expert in Infrastructure as Code (Terraform, CloudFormation, ARM templates, Pulumi)
- Strong scripting skills (Python, PowerShell, Bash, Go)
- Proficiency with configuration management tools (Ansible, Chef, Puppet)
- Experience with GitOps practices and tools (ArgoCD, Flux)
- CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, Azure DevOps)
Container & Orchestration:
- Deep expertise with Kubernetes and cloud-managed Kubernetes services
- Container technologies (Docker, containerd)
- Service mesh architectures (Istio, Linkerd, Consul)
- Helm charts and Kustomize for configuration management
Networking & Security:
- Advanced networking concepts (VPCs, subnets, routing, load balancing, DNS)
- VPN, Direct Connect/ExpressRoute, and hybrid connectivity solutions
- Web Application Firewalls, DDoS protection, and security best practices
- Certificate management and secrets management (Vault, AWS Secrets Manager)
- Zero Trust architecture and microsegmentation
Data & Databases:
- Architecture experience with relational databases (PostgreSQL, MySQL, SQL Server)
- NoSQL databases (DynamoDB, Cosmos DB, MongoDB)
- Data warehousing solutions (Redshift, Snowflake, BigQuery)
- Database migration strategies and replication technologies
- Backup, recovery, and high-availability architectures
Observability & Monitoring:
- Cloud-native monitoring (CloudWatch, Azure Monitor, Cloud Operations Suite)
- APM solutions (Datadog, New Relic, Dynatrace)
- Logging platforms (ELK Stack, Splunk, CloudWatch Logs)
- Distributed tracing (Jaeger, X-Ray, Application Insights)
Methodologies & Frameworks:
- Enterprise architecture frameworks (TOGAF, Zachman)
- Well-Architected Framework principles (AWS, Azure, Google Cloud Platform)
- Twelve-Factor App methodology
- Site Reliability Engineering (SRE) practices
- FinOps and Cloud Financial Management principles
- Agile and DevOps methodologies
Professional Skills
- Exceptional communication skills with ability to articulate complex technical concepts to non-technical audiences
- Strategic thinking and business acumen
- Strong leadership and mentorship capabilities
- Ability to influence and drive consensus across diverse stakeholder groups
- Executive presence and presentation skills for C-level audiences
- Collaborative mindset with ability to work across organizational boundaries
- Problem-solving and critical thinking under pressure
- Customer-focused approach with emphasis on business outcomes
PREFERRED QUALIFICATIONS
- Master s degree or MBA in related field
- 10+ years of enterprise cloud architecture experience
- Multi-cloud certifications across AWS, Azure, and Google Cloud Platform
- AWS Certified Solutions Architect Professional
- Microsoft Certified: Azure Solutions Architect Expert
- Google Cloud Professional Cloud Architect
- Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
- TOGAF or Zachman Framework certification
- FinOps Certified Practitioner
- Experience with infrastructure at massive scale (PB-scale data, millions of transactions/day)
- Published thought leadership (blogs, whitepapers, conference presentations)
- Open-source contributions to cloud-native projects
- Experience with AI/ML infrastructure and MLOps platforms
- Terraform or Kubernetes certifications
- CISSP, CCSP, or other security certifications
COMPETENCIES
- Technical Cloud architecture and design mastery
- Multi-cloud platform expertise
- Security and compliance architecture
- Infrastructure automation and IaC
- System scalability and performance optimization
- Cost optimization and financial management
- DevOps and CI/CD practices
- Professional Strategic vision and innovation
- Technical leadership and mentorship
- Stakeholder management and influence
- Decision-making and judgment
- Communication excellence across all levels
- Continuous learning and adaptation
- Collaboration and cross-functional partnership
- Business alignment and value delivery
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