DevOps Engineer

We are seeking a skilled DevOps Engineer with 5-7 years of experience in designing, implementing, and managing cloud infrastructure, CI/CD pipelines, and DevOps practices across Azure/AWS/GCP. The ideal candidate will have strong expertise in infrastructure automation, containerization, cloud-native architectures, monitoring, security, and platform reliability. The role involves working closely with development, data, AI/ML, and cloud teams to build scalable, secure, and highly available enterprise platforms.
Responsibilities:
Design, implement, and manage cloud infrastructure on Azure/AWS/GCP.
Build and maintain CI/CD pipelines for application, data, and AI/ML deployments.
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
Deploy and manage containerized applications using Docker and Kubernetes.
Configure monitoring, logging, alerting, and observability frameworks.
Implement cloud security best practices, access controls, governance, and compliance standards.
Optimize cloud resource utilization, performance, scalability, and operational costs.
Support production deployments, incident management, troubleshooting, and root cause analysis.
Collaborate with Development, Data Engineering, AI/ML, and Security teams to ensure reliable and efficient deployments.
Develop reusable automation frameworks, deployment templates, and operational runbooks.
Requirements:
Bachelor's degree in computer science, information technology, engineering, or a related field.
5-7 years of hands-on experience in DevOps, cloud engineering, or site reliability engineering.
Experience implementing enterprise-scale CI/CD and cloud automation solutions.
Cloud certifications (Azure, AWS, or GCP) preferred.
A hands-on DevOps engineer with strong expertise in Azure, AWS, and/or GCP, capable of building secure, scalable, and automated cloud platforms while enabling fast, reliable delivery of applications, data, and AI solutions at enterprise scale.
Cloud Platforms:
Microsoft Azure and/or AWS and/or Google Cloud Platform.
Compute, Storage, Networking, IAM, and Security Services.
Cloud Architecture and High Availability Design.
DevOps and Automation:
Azure/AWS/GCP DevOps, GitHub Actions, Jenkins, GitLab CI/CD.
Infrastructure as Code (Terraform, ARM, Bicep, CloudFormation).
Shell Scripting, Python, PowerShell.
Containers and Orchestration:
Docker.
Kubernetes (AKS, EKS, GKE).
Helm Charts.
Container Registry Management.
Monitoring and Security:
Azure Monitor, Application Insights
CloudWatch, Stackdriver/Google Monitoring.
Prometheus, Grafana, and ELK Stack.
Vulnerability Management and Security Automation.
AI/ML and Data Platform Exposure (Preferred):
Azure ML, AWS SageMaker, and Vertex AI.
Databricks, Synapse, Snowflake.
MLOps and Model Deployment Pipelines.

Experience
5-7 yrs