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.