We are looking for a
DevOps Engineer
who is passionate about treating infrastructure as software. Your primary focus will be designing, building, and maintaining automated infrastructure using
Terraform
. You will be responsible for the "Automation First" strategy, ensuring our cloud environments are scalable, reproducible, and secure through code. This role focuses strictly on provisioning, configuration management, and CI/CD pipelines.

Experience Level:
5-8 Years

Location:
Hyderabad

Work Mode: **
5 days working from office**

Key Responsibilities
- Infrastructure as Code (IaC):
Architect and maintain complex infrastructure modules using
Terraform
to ensure consistent setting setups across Dev, Staging, and Production.
- Cloud Architecture:
Design and deploy scalable, highly available, and fault-tolerant systems on [AWS/Azure/GCP].
- CI/CD Pipeline Engineering:
Build and optimize automated deployment pipelines (Jenkins, GitLab CI, or GitHub Actions) to streamline the delivery of containerized applications.
- Containerization:
Manage and orchestrate containerized workloads using




Docker
and
Kubernetes
(EKS/AKS/GKE).
- Configuration Management:
Utilize tools like
Ansible
or
Packer
to automate server configurations and image creation.
- Security Integration:
Implement "Security as Code" by integrating automated vulnerability scanning and IAM policy enforcement within the IaC workflow.
- Collaboration:
Work closely with development teams to "containerize" applications and provide them with self-service infrastructure capabilities.

Required Technical Skills
- IaC Mastery:
Expert-level experience with
Terraform
, including state management, workspaces, and reusable module development.
- Cloud Platforms:
Strong hands-on experience with
[AWS/Azure/GCP]
services (VPC, IAM, Compute, RDS, S3).
- Container Orchestration:
Proficiency in
Kubernetes
and
Docker
(writing Dockerfiles, managing K8s manifests/Helm charts).
- Scripting:
Advanced proficiency in
Python
,
Bash

📌 DevOps Engineer (Hyderabad)
🏢 HighRadius
📍 Hyderabad