Role: Cloud Platform & AI Engineer

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long term

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid - Onsite 2 days a week in Hyderabad

We are seeking a hands-on Cloud Platform & AI Engineer with 4+ years of experience supporting AWS cloud platforms, automation, data-processing workloads, and AI/ML initiatives.

The ideal candidate will have robust experience with AWS, Python, Terraform, Apache Spark/PySpark, Linux, and CI/CD , along with practical exposure to AI/ML and Generative AI technologies .

Key Responsibilities

- Support and enhance AWS cloud platform environments .
- Provision and maintain AWS infrastructure using Terraform .
- Develop Python automation, platform utilities, APIs, and data-processing solutions.
- Administer and troubleshoot Linux environments.
- Provision, configure, and troubleshoot AWS EMR clusters and Spark workloads.
- Develop and optimize Apache Spark/PySpark workloads.
- Monitor cloud environments using AWS CloudWatch .
- Contribute to AI/ML and Generative AI initiatives, including LLM applications, MCP servers, and AI agent workflows.
- Support CI/CD and automated deployments using Jenkins, GitHub,



Bitbucket , or similar tools.
- Assist with cloud security, vulnerability remediation, monitoring, and logging.
- Support containerized and data-science environments as needed.

Requirements
- 4+ years of relevant cloud, platform, software, or data engineering experience.
- Strong hands-on experience with AWS , particularly EC2, S3, IAM, VPC, RDS, EMR, and CloudWatch .
- Strong Python development and scripting experience.
- Strong Terraform / Infrastructure as Code experience.
- Hands-on experience with Apache Spark / PySpark .
- Experience provisioning and troubleshooting AWS EMR clusters.
- Strong Linux administration and troubleshooting skills.
- Practical experience with AI/ML and Generative AI , including LLMs, AI agents, MCP servers, or similar technologies.
- Experience with Jenkins, GitHub, Bitbucket , or comparable CI/CD/source-control tools.

Preferred
- Docker and Kubernetes/EKS
- REST APIs
- Containerized workloads
- Cloud monitoring, logging, and security
- JupyterHub/JupyterLab
- Data science/ML development environments

📌 Machine Learning Engineer (Hyderabad)
🏢 Sky Systems, Inc. (SkySys)
📍 Hyderabad