We are looking for a DevOps Engineer who is result-oriented, believes in leading from the front, and is always willing to go the extra mile. The role requires a talented, self-directed individual with a solid work ethic and the following skills-

The Role Will Involve

Cloud Platform AWS (Expert level) — EC2, VPC, Subnets, Route53, S3, RDS (SQL Server), Dynamo DB, CloudFormation, CloudFront, Lambda, API Gateway, IAM, SSO, SAML, App Stream 2.0, Storage Gateway, ALB/NLB, CloudWatch.
Infrastructure as Code (IaC)Terraform — Terraform Cloud, modules, workspaces, variables, and cross-account Assume Role setup.
Operating Systems Linux (Ubuntu preferred) — Server setup, package management, permissions, networking, and automation with shell scripting. Basic knowledge of Windows Server / Active Directory for legacy components (OUs, GPOs, login scripts).
App Stream Management App Stream 2.0 — image sharing, stack/fleet creation, user access setup, and autoscaling configuration.
Automation / Templates — CloudFormation templates and YAML scripting for infrastructure provisioning.




Programming / Scripting Languages — Python (Boto3 automation, Lambda, DevOps scripts), Bash/Shell, PowerShell (for hybrid tasks), JSON, YAML.
CI/CD Pipelines — GitHub Actions, Terraform Cloud Runs, and automated infrastructure delivery pipelines.
Storage Gateway Integration — Cross-account Storage Gateway (SMB) configuration, IAM trust roles, and file share automation.
Networking — TCP/IP, CIDR subnetting, routing, DNS, VPN configuration.
Source Control — GitHub — repositories, branching, versioning, and CI/CD integration.
Identity & Access Management — AWS IAM, SSO (Identity Center), SAML federation, role trust policies, and STS cross-account configuration.
Database — RDS (SQL Server) and DynamoDB database setup, restore from S3, schema management, permissions, backup and restore automation.
Monitoring / Scaling — App Stream fleet scaling with cron-based scheduled scaling policies (scale in/out automa

📌 DevOps Engineer (Noida)
🏢 Techahead
📍 Noida