AI Cloud Operations Engineer — Linux, Python & AWS

Sbtglobalinc; Plano (TX); On-site; USD 90,000 - 135,000; Full time

Job summary

Sbtglobalinc is seeking a skilled DevOps/Platform Engineer to operate and monitor enterprise AI applications in a Linux-based production environment. You will manage Docker, NGINX, and Python services, while ensuring robust CI/CD and incident response capabilities.

The role requires 5-9 years of hands-on experience with Linux systems, cloud services, databases, and AI application components. A strong scripting background and familiarity with Kubernetes is highly valued.

Qualifications

• 5-9 years of experience in application, system, or cloud operations.
• Strong hands-on experience with Linux (RHEL/Ubuntu) administration and production troubleshooting.
• Proficiency in Python and Bash scripting; JavaScript/Node.js experience is a plus.
• Experience operating Flask/FastAPI applications, Docker, NGINX, Uvicorn, or Gunicorn.
• Working knowledge of PostgreSQL and/or MongoDB and related operational tasks.
• Experience with AWS services, preferably AWS Bedrock, CloudWatch, CloudTrail, and VPC networking.
• Understanding of REST APIs, networking, VPN, PrivateLink, and VPC Endpoints.
• Experience with Git and CI/CD tools such as Jenkins.

Responsibilities

• Operate and monitor enterprise AI applications and services.
• Manage Linux servers, Docker containers, NGINX, and systemd services in production.
• Develop Python and Bash automation scripts for deployment, monitoring, backup, and recovery.
• Support CI/CD deployment processes and improve operational efficiency.
• Perform incident response, troubleshooting, and root-cause analysis (RCA).
• Maintain technical documentation and operational procedures.

Skills

Linux administration

Python scripting

Bash scripting

REST APIs

Troubleshooting

Tools

Docker

NGINX

Uvicorn

Gunicorn

PostgreSQL

MongoDB

Redis

Meilisearch

Kubernetes

Job description

Sbtglobalinc is seeking a skilled DevOps/Platform Engineer to operate and monitor enterprise AI applications in a Linux-based production environment. You will manage Docker, NGINX, and Python services, while ensuring robust CI/CD and incident response capabilities.

The role requires 5-9 years of hands-on experience with Linux systems, cloud services, databases, and AI application components. A strong scripting background and familiarity with Kubernetes is highly valued.