JobsMaxisAIDevOps Intern

DevOps Intern

MaxisAI·Hyderabad·Posted 19 Jun·via LinkedIn

If you want to start your professional journey with an organisation where breakthrough technology meets bold scientific transformation, this opportunity is for you!

MaxisAI (erstwhile, MaxisIT Inc.) is hiring DevOps/AgentOps Interns (Hyderabad location)!!!!

Role Purpose
Support MaxisAI's DevOps and AgentOps functions by assisting with CI/CD pipeline management, infrastructure automation, agent deployment operations, and observability tooling. This role provides hands-on experience in modern DevOps practices applied to AI-first product environments.

Reporting Structure
Reports To: DevOps Lead
Works Closely With:
•   AI Engineering Intern
•   Product Engineering Team
•   AI Engineering Lead
Key Responsibilities
•   Support CI/CD pipeline configuration, maintenance, and troubleshooting (GitHub Actions, GitLab CI, or equivalent).
•   Assist with infrastructure provisioning and configuration using IaC tools (Terraform, AWS CDK).
•   Help monitor and maintain cloud infrastructure across AWS services (EC2, ECS, Lambda, S3, RDS).
•   Support deployment and operational monitoring of AI agents and agentic workflows.
•   Assist with setting up observability tooling: logging, metrics, alerting, and tracing (CloudWatch, Datadog, or equivalent).
•   Contribute to documentation of DevOps runbooks, deployment procedures, and infrastructure diagrams.
•   Participate in incident triage and support root cause analysis for infrastructure issues.
•   Explore and prototype AgentOps patterns for AI agent monitoring, versioning, and evaluation pipelines.
Required Experience
•   Currently pursuing or recently completed a degree in Computer Science, DevOps, Cloud Engineering, or related field.
•   Basic understanding of Linux/Unix systems and command-line operations.
•   Familiarity with at least one cloud platform (AWS preferred).
•   Exposure to version control systems (Git/GitHub).
•   Interest in DevOps, cloud infrastructure, or AI systems operations.
•   Willingness to learn new tools and work in a fast-paced, collaborative environment.
Preferred Background
•   Exposure to Docker, Kubernetes, or container orchestration.
•   AWS Cloud Practitioner or equivalent certification.
•   Understanding of monitoring and observability concepts.
•   Prior project work involving CI/CD or cloud deployment pipelines.
Success Measures – First 12 Months
•   Successfully configure or improve at least 1 CI/CD pipeline component within the internship.
•   Produce at least 2 infrastructure runbooks or documentation artifacts.
•   Support at least 1 live deployment and post-deployment monitoring cycle.
•   Demonstrate measurable progress in cloud/DevOps skills by end of internship.
Interested candidates may directly reach out to: [contact shared on WhatsApp]

#AIInterns #DevOpsInterns #EngineeringInterns #CloudInternship

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