AIOps Engineer

Compunnel, Inc.; Reston (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology company based in Virginia is seeking an AIOps Engineer to lead the development and integration of AI-driven operations platforms. The ideal candidate will have extensive experience in AI operations, cloud services, and DevOps practices. Responsibilities include designing AI platforms, integrating AI agents, and mentoring junior engineers. Competitive salary and benefits are offered.

Qualifications

• Minimum 8 years of experience in AI development, MLOps, or related domains.
• Minimum 4 years of experience architecting AI solutions and environments.
• Strong proficiency in Python and scripting languages.

Responsibilities

• Design, develop, and support AI/ML operations platforms.
• Integrate AI agents with diverse data sources.
• Implement and maintain CI/CD pipelines.

Skills

Python

AI/ML operations

Infrastructure automation

Cloud-native technologies

DevOps practices

Tools

Docker

Kubernetes

AWS

CI/CD tools

Terraform

Job description

We are seeking a highly skilled AIOps Engineer to lead the development, integration, and optimization of AI-driven operations platforms.

The ideal candidate will have deep expertise in AI/ML operations, infrastructure automation, and cloud-native technologies, and will play a key role in enhancing system reliability, scalability, and performance through intelligent automation.

Key Responsibilities

• Design, develop, and support AI/ML operations platforms and autonomous agent frameworks.
• Integrate AI agents with diverse data sources including Elasticsearch, SQL/NoSQL databases, Jira, Confluence, and Git.
• Implement and maintain CI/CD pipelines and automate infrastructure provisioning using IaC tools (Terraform, Ansible).
• Support AWS operational environments and ensure alignment with core cloud services.
• Develop scripts and automation using Python for backend development and system tasks.
• Configure and manage containerized environments using Docker and Kubernetes.
• Troubleshoot and resolve complex DevOps and AI-related issues.
• Collaborate with cross-functional teams to align AI systems with business goals.
• Mentor junior engineers and contribute to code reviews and knowledge sharing.
• Create and maintain SOPs, training plans, and documentation for DevOps and AI operations.
• Measure and improve process efficiency and effectiveness through automation.
• Ensure compliance with security policies and regulatory standards.

Required Qualifications

• Minimum 8 years of experience in AI development, MLOps, or related domains.
• Minimum 4 years of experience architecting AI solutions and environments.
• Strong proficiency in Python and scripting languages (Shell, PowerShell).
• Hands‑on experience with agentic frameworks (e.g., LangChain, AutoGen).
• Experience with AWS cloud services and infrastructure automation.
• Proficiency in CI/CD tools and version control systems (Git).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Strong understanding of DevOps tools and practices (Jenkins, SonarQube, Selenium, etc.).
• Experience with monitoring and dashboard tools (ELK, Splunk).
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience leading global teams or projects.
• Familiarity with compliance frameworks (e.g., NIST, SOC1, SOC2).
• Knowledge of Azure, Google Cloud, and hybrid cloud environments.
• Experience with open‑source contributions and plugin integrations.