SAS OCR Associate Engineer

Shared Application & Services defines the standardized use and further development of shared platforms and applications. As a result, SAS offers reusable, scalable and cost-efficient solutions for your E2E business processes. A SAS OCR Associate Engineer is responsible for designing, implementing, and managing cloud infrastructure and services on Google Cloud. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Cloud Infrastructure Management – Design, deploy, and manage scalable, secure, and cost-effective cloud environments on GCP. Automation & Scripting – Develop Infrastructure as Code (IaC) using Terraform, Deployment Manager, or other tools. Security & Compliance – Implement security best practices, IAM policies, and ensure compliance with organizational and regulatory standards. Networking & Connectivity – Configure and manage VPCs, subnets, firewalls, VPNs, and interconnects for secure cloud networking. CI/CD & DevOps – Set up CI/CD pipelines using Cloud Build, Jenkins, GitHub Actions, or similar tools for automated deployments. Monitoring & Logging – Implement monitoring and alerting using Cloud Logging & Monitoring, or third-party tools. Cost Optimization – Analyze and optimize cloud spending by leveraging committed use discounts, autoscaling, and right-sizing resources. Disaster Recovery & Backup – Design backup, high availability, and disaster recovery strategies using Cloud Storage, Snapshots, and multi-region deployments. Database Management – Deploy and manage GCP databases like Cloud SQL. Containerization & Kubernetes – Deploy and manage containerized applications using GKE (Google Kubernetes Engine)

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