AI-Ready Infrastructure Automation Engineer

CareerCircle
Chicago, IL, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$130,000.0 - $190,000.0
Working hours
Regular working hours

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis Android Software Development Apple IOS Apple Mac Systems Application Packaging User Authentication Automation of Tests
+56 more
Microsoft Azure Bash Shell Software as a Service Cloud Computing Cloud Engineering Configuration Management Cyber Security Computational Biology Continuous Integration Data Centers Monitoring of Systems Hyper-V Identity and Access Management Information Technology Operations JSON Python (Programming Language) Key Management Network Security Machine Learning Project Management Software Windows Servers Virtual Desktops Windows PowerShell Red Hat Enterprise Linux Reliability Engineering Remote Access Technology Remote Desktop Services Cloud Services Ansible Zero Trust Network Access Data Streaming Virtualization Technology YAML Scripting Google Cloud Cloud Platform System Cyberark Microsoft Power Automate Autoscaling Delivery Pipeline Software Security Generative AI Infrastructure as Code (IaC) Microsoft InTune Infrastructure Automation Frameworks Information Technology Low Latency Patch Management Casper Suite Gsuite Cloud Migration Virtual Agents Terraform GPT Devsecops Vmware

Job description

CI/CD Ansible Hyper-V CyberArk Scripting Telemetry Terraform DevSecOps AI Agents Operations Management Automation Innovation Resilience Agentic AI Reliability Low Latency Disabilities Communication Cloud Services Virtualization Professionalism Test Automation Microsoft Azure Problem Solving Cloud Migration Computer Science Operating Systems Agile Methodology System Monitoring Cloud Engineering Anomaly Detection Windows PowerShell Workflow Management Amazon Web Services Time Off Management Technology Ecosystems System Administration Continuous Monitoring Configuration Management Infrastructure Automation Employee Assistance Programs Site Reliability Engineering Infrastructure as Code (IaC) Python (Programming Language) Zero Trust Architecture (ZTA) Identity And Access Management Troubleshooting (Problem Solving) AIOps (Artificial Intelligence For IT Operations), What You’ll Do

  • The AI-Ready Infrastructure Automation Engineer is a hands-on technical role focused on designing, building, and operating highly resilient, software-defined environments using Site Reliability Engineering (SRE) principles. This engineer plays a crucial role in executing data center modernization, cloud migration, and transformational automation initiatives across the enterprise. By integrating agentic AI into deployment pipelines and operational workflows, this role shifts the infrastructure paradigm from static and manual to dynamic, self-healing, and AI-optimized. The engineer will leverage Infrastructure-as-Code (IaC) methodologies to build robust environments across AWS, Azure, and GCP, ensuring the underlying architecture natively supports Zero Trust security models and complex AI workloads., * Infrastructure-as-Code & CI/CD Automation
  • Automate and codify policies, configurations, and methods for the provisioning and management of host operating systems, software, devices, and cloud services.
  • Effectively operationalize Infrastructure-as-Code (IaC) and Compliance-as-Code utilizing enterprise configuration management tools like Ansible and Terraform.
  • Design and maintain advanced CI/CD pipelines, incorporating agentic AI deployment platforms to streamline secure, autonomous infrastructure provisioning.
  • Develop new capabilities, integrations, and automations to create highly agile, adaptable, and resilient orchestrated solutions to benefit end users and IT staff.

  • Site Reliability & Self-Healing Operations
  • Implement automated testing and SRE methodologies to proactively identify degradation and execute self-healing actions across network and compute environments.
  • Integrate network and system telemetry data into AIOps platforms to support intelligent operations, anomaly detection, and automated incident remediation.
  • Provide expert technical troubleshooting for complex multi-system problem/root-cause scenarios, contributing to improved overall problem-solving efforts.
  • Maintain operating efficiency and stability, ensuring the security and integrity of all systems while responding to outages via automated runbooks.

  • Zero Trust & AI-Ready Architecture
  • Embed security-by-design into all infrastructure code, applying Zero Trust access controls to ensure automation pipelines and non-human actors (AI agents) are continuously verified before execution.
  • Design, integrate, and deliver cloud-based, software-defined solutions over diverse network transport technologies to support low-latency inference traffic and agent-to-agent communication.
  • Utilize DevSecOps technologies for continuous monitoring and security automation across immutable infrastructure components., At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients. Related Jobs AI Security Architect TEKsystems

Chicago, IL*Remote

Research Operations Management Governance Agentic AI AI Security Observability Cyber Security Authentications Microsoft Azure Threat Modeling Machine Learning Network Security Security Policies Security Patterns Data Flow Diagram Microsoft Copilot Cloud Technologies Business Valuation Financial Services Credential Manager Information Privacy Application Security Emerging Technologies Full Stack Development Artificial Intelligence Business Transformation IT Security Architecture Microsoft Power Platform Authorization (Computing) Verbal Communication Skills Software As A Service (SaaS) Security Requirements Analysis Identity And Access Management Microsoft Certified Professional Generative Artificial Intelligence Artificial Intelligence Infrastructure Application Programming Interface (API) +0 Life Sciences AI Trainer Aston Carter

New York, NY*Remote

Finance Biology ChatGPT Oncology Research Claude AI Accounting Procurement Supply Chain Communication Life Sciences Biotechnology Google Sheets File Handling Drug Discovery Microsoft Excel Self-Discipline Drug Development Google Workspace Clinical Research Analytical Skills Data Interpretation Scientific Literature Computational Biology Artificial Intelligence Artificial Intelligence Infrastructure +0 AI-Ready Endpoint & MDM Engineer V2X

Remote

Jamf Mac OS NIST 800 Apple IOS AI Agents Management Automation Governance Innovation Agentic AI Autoscaling Disabilities Virtualization Professionalism Windows Servers Microsoft Azure Computer Science Virtual Desktops Patch Management Operating Systems Inventory Staging Intelligent Agent Windows PowerShell Workflow Management Time Off Management Scripting Languages User Experience (UX) Lifecycle Management Financial Efficiency Regulatory Compliance Information Gathering System Administration Remote Access Systems Application Packaging Operation Maintenance Remote Desktop Services Configuration Management Red Hat Enterprise Linux Mobile Device Management Bash (Scripting Language) Persona (User Experience) Android (Operating System) Project Management Software Employee Assistance Programs Python (Programming Language) Operating System Administration Cloud Financial Management (FinOps) Application Programming Interface (API) Microsoft Intune (Mobile Device Management Software) +0 Login | JoinContact

Requirements

  • Bachelor’s Degree in IT, Computer Science, or a 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:
  • 4 to 6 years of related IT experience, with at least 3 years focused heavily on infrastructure automation, cloud engineering, or systems administration.
  • Other Requirements:
  • U.S. Citizenship
  • Required Skills & Competencies
  • Demonstrated expertise in Infrastructure-as-Code (IaC) and configuration management (Ansible, Terraform).
  • Deep proficiency in scripting and orchestration languages (PowerShell, Python, JSON, YAML).
  • Hands-on experience designing and operating cloud ecosystems (Azure, AWS, GCP) and virtualization platforms, including VMWare, Hyper-V, and Red Hat Virtualization.
  • Hands-on experience designing and operating secrets management ecosystems (Hashi Vault, Cyberark, GCP Secrets Manager)
  • Experience with Zero Trust Architecture, identity-aware networking, and machine identity management.
  • Familiarity with System Monitoring, automated CI/CD pipelines, and Orchestration/Automation tools.

Benefits & conditions

  • The successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions.
  • The following salary range is intended to display the value of the company’s base pay compensation and may be modified at the discretion of the company.
  • USD $ 130,000 - 190,000
  • Provided salary range minimum and maximum values correspond to variances between regional/geographic locations across the United States.
  • Please speak with a recruiter for additional information.
  • Employee benefits include the following:
  • Healthcare coverage
  • Life insurance, AD&D, and disability benefits
  • Retirement plan
  • Wellness programs
  • Paid time off, including holidays.
  • Learning and Development resources
  • Employee assistance resources
  • Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

About the company

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $4.5B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.

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