Summary
✨ AI‑Generated
Support the operation, stability, performance, and security of enterprise AI applications in a production environment. You will manage Linux systems and containers, troubleshoot Python services and APIs, work with databases and networking, and operate cloud-based AI workloads using modern infrastructure technologies.
Highlights
Work on enterprise AI applications in a production environment with a strong focus on reliability, performance, and security. The role provides hands-on exposure to cloud infrastructure, Python services, containers, databases, networking, and AI application operations.
Description
Position Information
Job Title: Mid-Level AI Application & Cloud Operations Engineer
Contract Period: 1yr.
Start Date : ASAP
Working Location: Plano, TX
JD Details
1.
Position
We are seeking mid-Level AI application & Cloud operations engineer to support the operation, stability, performance, and security of enterprise AI applications running on Samsung Cloud Platform and AWS Bedrock.
The engineer will support AI services including Claude Chat, HE T2A, and Cowork for SEA, with a focus on Linux systems, Python-based applications, Docker, databases, networking, AWS services, and production troubleshooting
2.
Core responsibilities.
* Operate and monitor enterprise AI applications, including Claude Chat, HE T2A, and Cowork for SEA.
* Manage Linux servers, Docker containers, NGINX, and systemd services in production environments.
* Support and troubleshoot Python-based applications and APIs using Flask, FastAPI, Uvicorn, and Gunicorn.
* Manage and monitor MongoDB, PostgreSQL/pgvector, Redis, and Meilisearch.
* Support integration with AWS Bedrock (Claude) and external AI services such as Tavily API.
* Manage Samsung Cloud Platform VMs running RHEL and Ubuntu.
* Support secure network connectivity using IPsec VPN, AWS PrivateLink, and VPC Endpoints.
* Monitor system health, application performance, and audit activities using CloudWatch and CloudTrail.
* Support file storage, firewall rules, routing, MCP Server, and Filebridge components.
* 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) and implement preventive measures.
* Maintain technical documentation and operational procedures.
3.
Qualification
* 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.
* Strong troubleshooting, incident management, and problem-solving skills.
4.
Preferred Qualifications
* Experience operating LLM/GenAI applications or RAG-based systems.
* Hands-on experience with AWS Bedrock and Claude.
* Experience with Redis, pgvector, Meilisearch, or other AI application data stores.
* Experience with MCP, AI agents, or AI application frameworks.
* Experience with Kubernetes or container orchestration.
* Experience with Prometheus/Grafana or ELK Stack.
* AWS certification such as Solutions Architect, SysOps Administrator, or DevOps Engineer.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status.
We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
