We are seeking an experienced AI Application & Cloud Operations Engineer to support the operation, performance, stability, and security of enterprise AI applications running on cloud platforms and AWS Bedrock. The ideal candidate will have strong hands-on experience in Linux administration, Python scripting, Docker, databases, AWS services, and cloud networking, with proven skills in production troubleshooting, incident response, and system optimization.
Position Summary:
- Support the operation, performance, stability, and security of enterprise AI applications running on the Cloud Platform and AWS Bedrock
- Troubleshoot and maintain Linux, Python, Docker, database, networking, and AWS environments
Key Responsibilities:
- Operate and monitor AI applications, Linux servers, Docker containers, and cloud environments
- Support Python-based applications and APIs using Flask/FastAPI, Uvicorn, and Gunicorn
- Manage databases including MongoDB, PostgreSQL/pgvector, Redis, and Meilisearch
- Support AWS Bedrock (Claude), external AI services, and cloud/network integrations
- Manage RHEL/Ubuntu VMs and secure connectivity using VPN, PrivateLink, and VPC Endpoints
- Monitor system performance and security using CloudWatch and CloudTrail
- Develop Python/Bash scripts for deployment, monitoring, backup, and recovery
- Support CI/CD deployments and perform incident response, troubleshooting, and root-cause analysis
- Maintain technical documentation and operational procedures
Qualifications/Requirements:
- 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 is a plus
- Experience with Docker, NGINX, Flask/FastAPI, Uvicorn, or Gunicorn
- Working knowledge of PostgreSQL and/or MongoDB
- Experience with AWS services, preferably 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 with LLM/GenAI or RAG-based applications
- Hands-on experience with AWS Bedrock and Claude
- Experience with Redis, pgvector, Meilisearch, MCP, or AI agents
- Kubernetes or container orchestration experience
- Experience with Prometheus/Grafana or ELK Stack
- AWS certification (Solutions Architect, SysOps Administrator, or DevOps Engineer) is a plus
P4N Solutions is a full-service recruiting and staffing agency partnering with globally leading companies to connect them with top talent. We specialize in sourcing, placing, and supporting highly qualified candidates across a range of industries, helping both clients and candidates achieve long-term success.
Beyond recruitment, we provide end-to-end workforce support, including onboarding coordination, contractor management, payroll processing, workers’ compensation administration, and ongoing employee engagement through regular check-ins and follow-ups. We also manage client contractor portals to ensure accurate updates on pay rates, billing, and employment status.
At People4Net, Inc, we are committed to delivering efficient, reliable, and people-focused staffing solutions that drive business growth and create meaningful career opportunities.