Mid-Level AI Application & Cloud Operations Engineer

Woongjin, Inc$100K — $120K *
Plano, TX 75025In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-9 years of experience in application, system, or cloud operations
  • Strong hands-on experience with Linux (RHEL/Ubuntu) administration
  • Proficiency in Python and Bash scripting, JavaScript/Node.js is a plus
  • Experience with Flask/FastAPI, Docker, NGINX, Uvicorn, or Gunicorn
  • Knowledge of PostgreSQL and/or MongoDB
  • Experience with AWS services, including AWS Bedrock
  • Familiarity with REST APIs, networking, VPN, PrivateLink, VPC Endpoints

Responsibilities

  • Operate and monitor enterprise AI applications including Claude Chat and HE T2A
  • Manage Linux servers, Docker containers, and system services in production
  • Support and troubleshoot Python-based applications and APIs
  • Monitor and manage databases such as MongoDB, PostgreSQL, and Redis
  • Facilitate integration with AWS Bedrock and other external AI services
  • Develop automation scripts using Python and Bash for operational tasks
  • Perform incident response and root-cause analysis while ensuring documentation

Benefits

  • Opportunity to work on cutting-edge AI applications
  • Access to training and development programs
  • Collaborative work environment with diverse projects
  • Flexibility in cloud technology usage and deployment
  • Potential for career advancement in AI and cloud operations
Full Job Description


Job Description

We are seeking mid-Level AI application & Cloud operations engineer to support the operation, stability, performance, and security of enterprise AI applications running on 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

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.

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.
• Strong troubleshooting, incident management, and problem-solving skills.

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.

Additional Information

*****NO C2C******

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