Cloud Platform & AI Engineer
SkySys
6 days ago
Remote
India
AI Services
Role: Cloud Platform & AI Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 months + extendable
Work Schedule: 8 hours/day (Mon-Fri)
Location: Hybrid - Onsite 2 days a week in Hyderabad, Telangana
Overview
Our customer is seeking a hands-on Cloud Platform & AI Engineer to support and enhance an AWS-based sandbox platform, data-processing workloads, automation, and emerging AI/ML capabilities.
The ideal candidate brings at least four years of relevant experience and can work across AWS infrastructure, Linux, Python, Infrastructure as Code and distributed data-processing technologies. This role also provides an opportunity to work with emerging Generative AI technologies, including LLM applications, MCP servers and AI agent workflows.
Key Responsibilities
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 months + extendable
Work Schedule: 8 hours/day (Mon-Fri)
Location: Hybrid - Onsite 2 days a week in Hyderabad, Telangana
Overview
Our customer is seeking a hands-on Cloud Platform & AI Engineer to support and enhance an AWS-based sandbox platform, data-processing workloads, automation, and emerging AI/ML capabilities.
The ideal candidate brings at least four years of relevant experience and can work across AWS infrastructure, Linux, Python, Infrastructure as Code and distributed data-processing technologies. This role also provides an opportunity to work with emerging Generative AI technologies, including LLM applications, MCP servers and AI agent workflows.
Key Responsibilities
- Support, maintain and enhance AWS-based cloud platform environments.
- Provision and maintain AWS infrastructure using Terraform.
- Develop Python-based automation, platform utilities, APIs, and data-processing solutions.
- Administer and troubleshoot Linux environments, including scripting, networking, performance monitoring, and operational support.
- Provision, configure, operate, and troubleshoot AWS EMR clusters and Spark-based workloads.
- Develop, troubleshoot, and optimize Apache Spark and PySpark workloads.
- Support monitoring and operational visibility using AWS CloudWatch and related AWS services.
- Contribute to AI/ML and Generative AI initiatives, including LLM-based applications, MCP servers and agentic workflows.
- Support automated build and deployment processes using Jenkins, GitHub, Bitbucket or comparable CI/CD tooling.
- Assist with cloud security, vulnerability remediation, monitoring, and logging.
- Support containerized and data-science development environments as applicable.
- All other duties as assigned.
- 4+ years of relevant cloud, platform, software, or data engineering experience.
- Strong hands-on AWS experience, particularly with EC2, S3, IAM, VPC, RDS, EMR and CloudWatch.
- Strong Python development and scripting skills for automation, platform utilities, APIs, and data processing.
- Strong Infrastructure as Code experience using Terraform to provision and maintain AWS environments.
- Hands-on experience developing, troubleshooting, and optimizing Apache Spark/PySpark workloads.
- Experience provisioning, configuring, operating, and troubleshooting AWS EMR clusters and Spark workloads.
- Strong Linux administration skills, including scripting, troubleshooting, networking, performance monitoring, and operational support.
- Practical exposure to AI/ML and Generative AI, including LLM-based applications, MCP servers, AI agents or agentic workflows and related frameworks.
- Experience with Jenkins, GitHub, Bitbucket or comparable CI/CD and source-control technologies.
- Experience with Docker and Kubernetes/EKS.
- Experience supporting containerized workloads.
- Experience with REST APIs.
- Experience with monitoring, logging, vulnerability remediation, and cloud security.
- Experience supporting JupyterHub, JupyterLab or comparable data-science and ML development environments.