Mid-Level AI Application & Cloud Operations Engineer

10 BTI Solutions, Inc.; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

10 BTI Solutions, Inc. seeks a Mid-Level AI Application & Cloud Operations Engineer to support enterprise AI apps on Samsung Cloud Platform and AWS Bedrock. You will manage Linux servers, Python-based services, Docker, and databases, while ensuring security and performance in production environments.

You will troubleshoot Flask/FastAPI apps, work with PostgreSQL/MongoDB, and coordinate with AWS services and CI/CD pipelines to maintain reliable operations.

Qualifications

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

Responsibilities

• Operate and monitor enterprise AI applications running on cloud platforms.
• Manage Linux servers, Docker containers, NGINX, and systemd services in prod.
• Troubleshoot Python-based apps and APIs using Flask/FastAPI/Uvicorn/Gunicorn.
• Manage MongoDB, PostgreSQL/pgvector, Redis, and Meilisearch in prod.
• Support integration with AWS Bedrock and external AI services.
• Maintain VMs on Samsung Cloud Platform (RHEL/Ubuntu) and secure networking.
• Monitor health and performance with CloudWatch/CloudTrail; RCA when incidents occur.
• Develop Python and Bash automation for deployment, backups, and recovery.
• Support CI/CD deployments and drive operational efficiency.

Skills

Linux administration

Python scripting

Bash scripting

Docker

NGINX

Flask/FastAPI

Uvicorn/Gunicorn

PostgreSQL

MongoDB

AWS services

CloudWatch

CloudTrail

Git

CI/CD (Jenkins)

Networking

VPN/PrivateLink/VPC

Tools

Kubernetes

NGINX

Jenkins

Job description

Mid-Level AI Application & Cloud Operations Engineer

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

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.

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.

Corporate Values

• Guided by Integrity We earn trust by keeping our promises and holding ourselves and each other accountable to do the right thing in all circumstances
• Strive for Excellence We strive to deliver quality candidates with efficiency and professionalism leading to the complete satisfaction of our clients
• Stronger Together We embrace each other’s differences and practice collaborative communication to build strong partnerships and relationships to achieve successful outcomes
• Think Big We continuously challenge ourselves and seek innovative ideas to improve and strengthen our company, clients, and partners for long‑term success
• Achieve Impact We commit ourselves to empowering and uplifting the people and communities we serve for a better tomorrow

To be the foundation of all connections and the driver of new discoveries, growth, and transformation for our employees, candidates, clients, partners, and community Connecting talented employees and great companies to attain new experiences and opportunities to fulfill their needs and achieve their goals.