Role Overview As a Senior Cloud Platform Engineer, you will own the foundational AWS infrastructure that powers all customerfacing and internal services. Youll drive IaC, CI/CD, observability, security hardening, and cost optimization. You will work with AWS (required) and be able to integrate and explore other cloud platforms, ensuring secure, efficient, and scalable platform architecture. This role requires strong experience in platform engineering best practices, including automation, orchestration, networking, security, and governance. You will collaborate closely with Data Scientists and AI/ML Engineers to enable CI/CD software delivery, alongside real-time, batch, and event-driven data pipelines that drive AI and business intelligence initiatives. Key Responsibilities • Build and maintain Terraform modules (or Pulumi/CDK) for multiaccount AWS landing zones, networking, and application stacks. • Design endtoend CI/CD pipelines in GitHub Actions or AWS CodePipeline for containerized and serverless workloads (ECS, EKS, Lambda). • Implement leastprivilege IAM, GuardDuty/Security Hub baselines, automated patching, and encryption by default. • Set up CloudWatch distributed tracing, and actionable alerting; establish SLOs with product teams. • Track and forecast spend with AWS Cost Explorer dashboards and champion efficiency initiatives. • Build internal tools (Python/Go), selfservice templates, and golden AMIs to accelerate developer velocity. • Prototype workload portability with GKE/AKS or cloudagnostic backups when justified. Qualifications • Professional Experience: 7+ years of experience in building and operating production infrastructure on AWS (required). Experience working in multi-cloud environments (AWS, Azure, GCP preferred). Proven expertise in IaC pipeline development, automation, and orchestration. • Technical Skills: Experience with CI/CD pipelines for data infrastructure, using GitHub Actions, Jenkins, or AWS CodePipeline. Hands-on experience with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or Pulumi. Strong understanding of containerization and orchestration (Docker, Kubernetes, ECS, EKS) for data workloads. Deep knowledge of VPC design, IAM, networking (Transit Gateway, PrivateLink) Proficient in at least one programming language (Python, Go, or TypeScript). Experience wiring up metrics, logs, and traces (e.g., CloudWatch, Prometheus, Grafana). Familiarity with Kubernetes operators, Helm, and GitOps (ArgoCD/Flux) is a plus. Exposure to GCP or Azure services (GKE, Cloud Build, AKS, Azure DevOps) desirable but not required. • Data Management: Experience with cloud-native data services (AWS Glue, Redshift, Athena, DynamoDB, S3, EMR, Kinesis). Some knowledge of data governance, cataloging, and lineage tracking using tools like AWS Glue Data Catalog, Apache Atlas, and Collibra. • Governance & Security: Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) and enterprise data security best practices. Implementation of RBAC, encryption, and auditing mechanisms for secure data access. • Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field (or equivalent practical experience). What We Offer • Hybrid Work Environment: Enjoy the flexibility of remote work combined with a few days in our Hyderabad office for in-person collaboration. • Innovative Projects: Shape the next generation of AI-powered solutions at CloudAI and drive meaningful impact on businesses worldwide. • Professional Growth: Access to continuous learning opportunities, leadership development, and mentorship within CloudAI’s global network. • Competitive Compensation: Attractive salary package, health benefits, and performance-based incentives. How to Apply Interested candidates are invited to submit their resume, portfolio, and a brief introduction outlining their relevant experience to salman.shaik@cloudaillc.com with the subject line “Cloud Platform Engineer – CloudAI, Hyderabad.” Join us in shaping the future of AI-driven user experiences at CloudAI Technologies!Role & responsibilities Preferred candidate profile