Mid-Level AI Application & Cloud Operations Engineer

BTI Solutions, Inc.

Plano (TX)

On-site

USD 110,000 - 140,000

Full time

7 days ago
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Job summary

BTI Solutions, Inc. is seeking a mid-level AI Application & Cloud Operations Engineer to support enterprise AI apps on Samsung Cloud Platform and AWS Bedrock, focusing on Linux systems, Python-based services, Docker, and production troubleshooting.

You will manage databases (MongoDB, PostgreSQL/pgvector), network security, CI/CD pipelines, and incident response, contributing to performance, stability, and secure operations across AWS and on-prem components.

Qualifications

  • 5–9 years of experience in application, system, or cloud operations.
  • Proficiency in Linux (RHEL/Ubuntu) administration and production troubleshooting.
  • Experience with Python and Bash scripting; JavaScript/Node.js is a plus.
  • Experience operating Flask/FastAPI applications, Docker, NGINX, Uvicorn, or Gunicorn.
  • Working knowledge of PostgreSQL and/or MongoDB and related 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.

Responsibilities

  • Operate and monitor enterprise AI applications on Samsung Cloud Platform and AWS Bedrock.
  • Manage Linux servers, Docker containers, NGINX, and systemd services in production.
  • Support Python-based apps and APIs using Flask, FastAPI, Uvicorn, and Gunicorn.
  • Manage MongoDB, PostgreSQL/pgvector, Redis, and Meilisearch databases.
  • Support integration with AWS Bedrock and external AI services.
  • Manage Samsung Cloud Platform VMs, VPN, PrivateLink, and VPC networking.
  • Monitor system health, performance, and audit activities with CloudWatch/CloudTrail.
  • Develop Python and Bash automation for deployment, monitoring, backup, and recovery.
  • Support CI/CD processes and improve operational efficiency.
  • Perform incident response and root-cause analysis; document procedures.

Skills

Linux administration
Python scripting
Troubleshooting
REST APIs
CI/CD practices
Incident management

Tools

Docker
NGINX
Flask/FastAPI/Uvicorn/Gunicorn
Git
Jenkins
Meilisearch
PostgreSQL
MongoDB
Redis
AWS Bedrock
CloudWatch
CloudTrail
VPC Endpoints
VPN
PrivateLink
Kubernetes

Job description

Mid-Level AI Application & Cloud Operations Engineer1. PositionWe 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 troubleshooting2. 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. Qualification5–9 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.Why work at BTI?We’re committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.
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