Mid-Level AI Application & Cloud Operations Engineer

Woongjin, Inc; Plano (TX); On-site; USD 105,000 - 118,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

401(k)

Paid Sick hours

Job summary

Woongjin, Inc. is hiring a Mid-Level AI Application & Cloud Operations Engineer in Plano, TX to support enterprise AI applications on Cloud Platform and AWS Bedrock.

You will operate and monitor services, manage Linux servers and containers, and troubleshoot Python-based apps using Flask or FastAPI. This role emphasizes production reliability, security, and incident response, with exposure to PostgreSQL, MongoDB, Redis, and Meilisearch, plus integrating with AWS services and CI/CD workflows.

Qualifications

• 5–9 years of experience in application, system, or cloud operations.
• Strong hands-on experience with Linux (RHEL/Ubuntu) administration and production troubleshooting.
• Experience operating Flask/FastAPI applications, Docker, NGINX, Uvicorn, or Gunicorn.

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.
• Monitor system health, application performance, and audit activities using CloudWatch and CloudTrail.

Skills

Linux administration

Production troubleshooting

Incident management

Problem solving

CI/CD familiarity

REST APIs understanding

Tools

Docker

NGINX

Python (Flask/FastAPI/Uvicorn/Gunicorn)

MongoDB

PostgreSQL

pgvector

Redis

Meilisearch

AWS Bedrock

CloudWatch

CloudTrail

VPC networking

Git

Jenkins

Kubernetes

Prometheus/Grafana

ELK Stack

Job description

Mid-Level AI Application & Cloud Operations Engineer

• Contract
• Compensation: USD 105000 - USD 118000 - yearly

For More Open Positions Visit us at:
http://recruiting.woongjininc.com/

Our Mission

WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

• Medical Insurance
• Vision Insurance
• 401(k)
• Paid Sick hours

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.
• 5–9 years of experience in application, system, or cloud operations.
• Strong hands-on experience with Linux (RHEL/Ubuntu) administration and production troubleshooting.
• 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.

All your information will be kept confidential according to EEO guidelines.