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# IT Operations Automation & AI Ops Engineer

- **Company:** V2X Inc
- **Location:** Reston, VA, United States
- **Experience:** Experienced
- **Salary:** $145,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Audit Trail, Automation of Tests, Microsoft Azure, Bash Shell, Cloud Computing, Configuration Management, Code Generation, Continuous Integration, Software Design Patterns, Disaster Recovery, Github, Monitoring of Systems, Information Technology Operations, Python (Programming Language), Network Configuration and Change Management, Networking Basics, Windows PowerShell, Systems Development Life Cycle, Red Hat Enterprise Linux, Ansible, Software Deployment, Workflow Management Systems, Cloud Platform System, GitHub Copilot, Delivery Pipeline, Mttr, Multi-Cloud, Technical Debt, HybridCloud, Infrastructure as Code (IaC), Gitlab, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Hashicorp, Virtual Agents, CIS Benchmarks, Terraform, Software Version Control, Docker, Servicenow
- **Published:** August 16, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3355987217&tx=KR4141FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Educational/Certification Requirements
 * Bachelor's degree in Information Technology, Computer Science, Systems Engineering, or related field OR an equivalent combination of education and experience from which comparable knowledge and job skills can be obtained. (One year related experience may be substituted for one year of education, if degree is required) .
 * Experience
 * A minimum of five (5) years of experience in IT operations, systems administration, or a related technical discipline.
 * A minimum of three (3) years of hands-on experience writing and maintaining automation using Ansible and/or Terraform.
 * Demonstrated experience with scripting languages: Python and/or Bash required; PowerShell a plus.
 * Experience with CI/CD pipelines and version control systems (GitLab, GitHub, or equivalent).
 * Experience with AI-assisted coding tools (GitHub Copilot, Amazon Q, or equivalent) in a production IT operations context preferred.
 * Familiarity with ITSM platforms such as ServiceNow and integration of automation into ticketing workflows.
 * Experience operating in cloud environments (AWS, Azure, or GCP); multi-cloud experience a plus.
 * Experience in the government contractor/services industry preferred.
 * U.S. Citizenship required; ability to obtain and maintain a security clearance.
 * Other Requirements:
 * Ability to travel to project and customer locations as needed.
 * Certifications:
 * Industry certifications preferred: HashiCorp Terraform Associate, Red Hat Certified Engineer (RHCE), AWS/Azure/GCP Associate-level or equivalent.
 * Ability to obtain and maintain CMMC Level 2 certification.
 * Preferred Requirements:
 * Master's degree or equivalent advanced technical training preferred.
 * Active Secret security clearance desired.
 * Experience with container orchestration (Kubernetes, Docker) and related automation tooling.
 * Familiarity with AI agent governance patterns: human-in-the-loop design, agent audit logging, and permission scoping for autonomous systems.
 * Experience designing or operating agentic IT operations platforms.
 * Skills:
 * Strong proficiency in Ansible, Terraform, Python, and Bash scripting.
 * Hands-on experience with AIOps platforms and closed-loop remediation design.
 * Familiarity with agentic workflow orchestration frameworks and human-in-the-loop design patterns.
 * Working knowledge of AI-assisted SDLC tools and their application to IT operations code.
 * Working knowledge of networking fundamentals sufficient to automate network configuration tasks.
 * Familiarity with security baselines, CIS benchmarks, and compliance-as-code practices.
 * Strong problem-solving skills and a bias toward automation-first and agentic-operations thinking.
 * Clear written and verbal communication skills, including the ability to document technical processes for non-technical audiences.

## Description

What You'll Do:

The IT Operations Automation & AIOps Engineer is a hands-on technical role responsible for designing, building, and operating the automation and intelligent operations frameworks that power the organization's AI-first IT environment. Reporting to the VP of Intelligent Automation and IT Operations, this engineer is a core builder of the greenfield IT operational environment - translating manual processes into automated, repeatable, and auditable workflows, and evolving those workflows toward agentic operations where AI systems take autonomous action with appropriate human oversight. This role spans infrastructure provisioning, configuration management, CI/CD pipeline integration, AI-assisted SDLC tooling, and the orchestration of AI agents across IT operational domains. The destination is not just automation - it is agentic IT operations: a model where AI agents handle routine operational events end-to-end while humans focus on strategy, governance, and edge-case resolution.

Responsibilities:

 * Infrastructure Automation & Provisioning
 * Design and maintain Infrastructure as Code (IaC) templates using Ansible to provision and manage cloud and on-premises resources consistently and repeatably.
 * Develop and maintain Terraform playbooks for configuration management, application deployment, patch automation, and compliance enforcement.
 * Build automated provisioning workflows for compute, storage, networking, and end-user environments.
 * Integrate automation pipelines with ITSM platforms (ServiceNow or equivalent) to enable self-service IT capabilities.
 * CI/CD & AI-Native SDLC for IT Operations
 * Implement and maintain CI/CD pipelines for infrastructure code
 * Apply software development best practices - version control, peer review, automated testing - to all infrastructure automation code.
 * Integrate and operationalize AI-assisted coding tools (GitHub Copilot, Amazon Q, or equivalent) into the IT operations SDLC, enabling AI-augmented code generation, review, and remediation for automation scripts and runbooks.
 * Develop automated compliance-as-code checks to validate infrastructure against security baselines and policy requirements.
 * Agentic Operations & AIOps Platform
 * Operate the AIOps platform, configuring AI-driven anomaly detection, alert correlation, and automated triage workflows.
 * Build and maintain the agentic workflow orchestration layer: design multi-step, AI-agent-executed operational workflows using orchestration frameworks, enabling IT agents to autonomously handle routine incidents and operational tasks.
 * Define human-in-the-loop thresholds for agentic operations: specify which actions agents may take autonomously, which require human approval, and how agent actions are logged, audited, and reviewed.
 * Integrate automation platforms with monitoring and observability tools to enable closed-loop remediation - from alert detection through root cause analysis to ticket resolution, without human intervention for defined incident types.
 * Identify and prioritize manual IT operational processes suitable for agentic automation, developing business cases and ROI models for each initiative.
 * Cloud & Hybrid Environment Management
 * Automate provisioning and lifecycle management of workloads across AWS, Azure, and/or GCP environments.
 * Implement FinOps practices including automated tagging, resource scheduling, and rightsizing recommendations to control cloud spend.
 * Maintain automation tooling for hybrid cloud environments, ensuring consistent policies across on-premises and cloud-hosted systems.
 * Contribute to disaster recovery automation, including scripted failover and failback procedures with validated RTO/RPO targets.
 * Track and report automation and agentic operations KPIs including tickets automated, MTTR reduction, agent action accuracy, and hours saved per sprint cycle.
 * Documentation & Continuous Improvement
 * Create and maintain comprehensive documentation for all automation frameworks, agentic workflows, runbooks, and operational procedures.
 * Conduct regular reviews of existing automations to identify optimization opportunities, address technical debt, and evaluate candidates for elevation from script-based automation to agentic orchestration.
 * Mentor junior team members and IT operations staff on automation tooling, AIOps platforms, agentic workflow design, and AI-assisted coding practices.
 * Track and report automation KPIs including tickets automated, MTTR reduction, agent action success rate, and hours saved per sprint cycle.


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