Cloud Devops Engineer

7 days ago

Bengaluru, India UPL Full time

UPL is accelerating its cloud-first digital and AI transformation across data, applications, and infrastructure. We are looking for a Cloud DevOps Engineer with 7+ years of hands-on experience in driving automation-first deployments, managing Terraform infrastructure pipelines, and ensuring GitHub-based CI/CD pipelines and governance across UPL’s multi-cloud landscape (Azure-first, AWS-enabled), with strong alignment to enterprise KPIs, including platform availability, cost efficiency, AI readiness, and hybrid workload reliability. Location: Bangalore Key Responsibilities Terraform Engineering & Infrastructure as Code · Design and architect complex Terraform scripts and configurations for multi-cloud environments · Develop reusable Terraform modules following best practices for modularity, versioning, and documentation · Utilize and manage the Scalr platform to govern Terraform deployments, manage environments and workspaces, and enforce security policies using Open Policy Agent (OPA). · Manage Terraform state including remote state backends, state locking, and workspace management, utilizing Scalr as the primary backend and collaboration tool. · Integrate Terraform with GitHub Actions for automated infrastructure deployment pipelines Advanced Infrastructure Management · Design, implement, and maintain scalable cloud infrastructure on Azure and AWS platforms using Terraform · Develop and maintain Terraform providers and custom resources when needed · Implement infrastructure drift detection and remediation processes through GitHub workflows · Create and manage Terraform workspaces for environment isolation and management Cloud Platform Management (Azure & AWS) using Terraform: Azure: · Networking: VNets, ExpressRoute, Virtual WAN, hybrid VPNs · Compute/Storage: VMSS, App Services, AKS, Storage Accounts · Databases: Azure SQL, CosmosDB, MySQL, PostgreSQL · Monitoring: Azure Monitor, Log Analytics, App Insights · Data Platform: Azure Databricks, Azure Data Factory · AI: Azure OpenAI, Azure ML, Cognitive Services AWS: · Networking: VPCs, Transit Gateways, Direct Connect · Compute: EC2, EKS, ECS, Lambda, Auto Scaling · Storage: S3, EBS, EFS · Databases: RDS, Aurora, DynamoDB, ElastiCache · Security: IAM, Config, GuardDuty, Security Hub · Monitoring: CloudWatch, AWS Systems Manager GitHub Management & GitHub DevOps Responsibilities: · Serve as the administrator for our GitHub organization, managing repositories, user access, and permissions (RBAC). · Define and enforce branching strategies (e.g., GitFlow) and implement branch protection rules to maintain code integrity. · Configure and manage GitHub Actions, including creating custom actions, managing secrets, and optimizing workflows, often integrated with Scalr for infrastructure deployments. · Administer and scale self-hosted GitHub Actions runners for specialized compute. · Implement and manage GitHub's security features, such as Dependabot for vulnerability scanning, CodeQL for static analysis, secret scanning, Infrastructure security scans (Checkov), and CI/CD for containerized services (AKS, EKS) CI/CD Pipeline Architecture & Automation Data Pipeline Deployment & Management Application Deployment Strategies · Configure application deployment pipelines including: · Configure deployment strategies including: REQUIRED EDUCATION AND EXPERIENCE: · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related technical field · 5+ years of hands-on devops & cloud engineering experience with Azure and AWS platforms ·

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