Role Description
**Cloud Engineer Internship**
**Location : Hybrid \| IITM Research Park, Chennai**
**Internship \| 6 Months**
**About AIRMAN**
AIRMAN Aeronautics is building an integrated aviation intelligence ecosystem spanning:
**Maverick AI**
Pilot learning and AI-driven study systems
**Skynet AI**
Flight school automation and compliance infrastructure
**XB70**
Flight data systems and post-flight intelligence
As our platforms scale,
**robust cloud infrastructure on AWS and GCP becomes critical**
to support application deployment, reliability, and system performance.
**Role Overview**
As a
**Cloud Engineer Intern**
, you will assist in building, managing, and improving the cloud infrastructure that powers AIRMAN’s applications.
This internship is designed to give you
**hands-on exposure to real-world AWS and GCP environments**
, cloud deployment workflows, infrastructure configuration, and operational best practices.
You will gain experience working with
**modern cloud-native development workflows and scalable infrastructure systems.**
**What You Will Work On**
During the internship, you may:
* Assist in deploying applications on
**AWS or Google Cloud Platform (GCP)**
* Work with
**compute services such as AWS EC2 or GCP Compute Engine**
* Support
**containerized deployments using Docker**
* Assist with
**cloud storage and database services**
such as S3, Cloud Storage, RDS, or Cloud SQL
* Support
**CI/CD pipelines using GitHub Actions or similar tools**
* Help configure
**cloud networking components**
such as security groups, firewalls, and ports
* Assist in managing
**development, staging, and production environments**
* Monitor
**application logs and cloud service metrics**
* Support
**basic infrastructure troubleshooting and deployment debugging**
* Contribute to
**cloud infrastructure documentation and deployment guidelines**
* Learn structured
**release management and versioning practices**
You will collaborate closely with
**backend and AI engineers**
to understand how infrastructure impacts system scalability, reliability, and performance.
**Technical Requirements**
We are looking for
**strong fundamentals and willingness to learn cloud systems.**
**Cloud Fundamentals (AWS / GCP Focus)**
* Basic understanding of
**AWS or Google Cloud Platform (GCP)**
* Familiarity with cloud services such as
**virtual machines, storage services, and managed databases**
* Basic understanding of
**cloud networking concepts**
such as IP addressing, ports, firewalls, and security groups
* Understanding of
**environment variables and configuration management**
**Containers and Deployment**
* Basic knowledge of
**Docker**
* Understanding of
**containerization and why it is used in modern deployments**
* Familiarity with
**Dockerfile structure and container image concepts**
**CI/CD and Version Control**
* Basic Git usage including
**commit, push, pull, and branching workflows**
* Understanding of
**CI/CD pipelines and automated deployment concepts**
* Exposure to
**GitHub Actions or similar CI/CD tools**
is a plus
**Systems and Debugging**
* Basic familiarity with
**Linux command-line tools**
* Understanding of
**client-server architecture**
* Willingness to
**investigate and troubleshoot deployment or infrastructure issues**
**Preferred**
* Experience deploying a
**small application to AWS or GCP**
* Exposure to
**Kubernetes or container orchestration concepts**
* Basic knowledge of
**load balancing or caching systems such as Redis**
* Participation in
**hackathons, open-source projects, or technical cloud projects**
**Who Should Apply**
* Final-year students or recent graduates in Computer Science, IT, Electronics, or related technical fields
* Recent graduates with
**0 to 1 year of experience**
* Self-learners with
**hands-on cloud or DevOps projects**
We value
**consistency, curiosity, and responsibility.**
**Conversion Opportunity**
Strong performers may be considered for full-time roles based on performance and team fit.