DevOps Engineering Intern

Key Responsibilities

• Assist in deploying and maintaining applications in cloud and on-premises environments.
• Support containerized application deployments using Docker and Kubernetes.
• Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform or Ansible.
• Help develop and maintain CI/CD pipelines for automated testing and deployments.
• Aid in environment provisioning, configuration management, and automation tasks.
• Assist with platform monitoring, logging, and troubleshooting activities.

AI / MLOps Support

• Assist with deployment and monitoring of machine learning and AI applications.
• Collaborate with Data Science and Engineering teams to operationalize ML models.
• Learn and apply MLOps best practices including model versioning and monitoring.
• Support AI infrastructure and resource optimization activities.

Application Deployment & Operations

• Deploy and support Python and Java-based applications.
• Assist in maintaining development, testing, and production environments.
• Support workflow automation tools such as n8n and related platforms.
• Troubleshoot application and infrastructure issues under guidance from senior engineers.
• Create and maintain deployment documentation and operational procedures.

Monitoring & Reliability

• Monitor application health, performance, and availability.
• Respond to operational alerts and assist in incident resolution.
• Participate in root cause analysis and continuous improvement initiatives.
• Help improve observability through dashboards, logging, and alerting systems.

Collaboration

• Work closely with engineering, product, and data teams on project delivery.
• Participate in technical discussions, planning sessions, and sprint activities.
• Follow organizational security, reliability, and DevOps standards.
• Document processes, procedures, and technical solutions.