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 For applications and inquiries, contact: [email protected]