Automation & AIOps Lead (TX DIR)

Peraton

Austin (TX)

Hybrid

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

Peraton is seeking an Automation & AIOps Lead in the Austin area to drive infrastructure automation, DevOps/MLOps, and AI-enabled operations for the Texas DIR program.

You will own the Enterprise Control Plane, Peraton[x] platform, and AIOps telemetry, leading zero‑touch provisioning, governance, and service evolution across ECP modules IF-1 through IF-7.

Qualifications

  • 8+ years of infrastructure automation and DevOps/MLOps engineering experience.
  • Terraform proficiency required.
  • Red Hat Ansible Automation Platform (AAP) proficiency required.
  • GitLab CI/CD pipeline engineering experience required.
  • AIOps platform operations experience (Splunk ITSI, Dynatrace Davis AI, or equivalent).
  • ML forecasting for capacity management and SLA breach prediction.
  • ServiceNow integration/development experience (IntegrationHub, CSDM, ITOM).
  • AI/ML operations experience (NVIDIA AI Enterprise, OpenShift, GPU scheduling) preferred.
  • NIST AI RMF familiarity preferred.
  • Strong enterprise automation, IaC, and observability skills.
  • Ability to obtain/maintain required agency clearance; US Citizen.

Responsibilities

  • Lead infrastructure automation, DevOps/MLOps, and AIOps initiatives across the program.
  • Oversee IaC pipelines using Terraform, Ansible, and GitLab CI.
  • Manage AIOps telemetry with Splunk ITSI, Dynatrace, Prometheus, Grafana, and OpenTelemetry.
  • Coordinate ServiceNow integration, CSDM flows, and ITOM enhancements.
  • Drive AI governance under AI RMF and ensure zero‑touch provisioning and automation savings.

Job description

Required Qualifications:

  • Bachelors degree and 8 years of experience or 12 years with a HS Diploma.
  • 8+ years of infrastructure automation and DevOps/MLOps engineering experience.
  • Terraform proficiency is required.
  • Red Hat Ansible Automation Platform (AAP) proficiency required.
  • GitLab CI/CD pipeline engineering experience required.
  • Experience withAIOps platform operations, including:
    • Splunk ITSI
    • Dynatrace Davis AI
    • Equivalent AIOps platforms
  • Experience withML forecasting for capacity management and SLA breach prediction.
  • Experience withServiceNow integration/development, including:
    • IntegrationHub
    • CSDM
    • ITOM
  • Experience withAI/ML operations, including NVIDIA AI Enterprise, OpenShift, and GPU scheduling, preferred.
  • NIST AI Risk Management Framework (AI RMF) familiarity preferred.
  • Government IT automation experience is a plus.
  • Strong understanding of enterprise infrastructure automation and automated service delivery.
  • Experience operating in complex enterprise IT environments.
  • Strong DevOps, MLOps, AIOps, automation, integration, and operational engineering skills.
  • Must be able to obtain and maintain the required agency clearance.
  • Must be a US Citizen.

Preferred Qualifications:

  • Infrastructure automation
  • DevOps
  • MLOps
  • AIOps
  • AI/ML operations
  • Enterprise observability
  • Predictive analytics
  • Machine-learning forecasting
  • Zero-touch infrastructure provisioning
  • ServiceNow ITOM/CSDM/IntegrationHub
  • Enterprise Control Plane engineering
  • Cloud and data center automation
  • Kubernetes and OpenShift
  • GPU infrastructure and scheduling
  • AI governance
  • Government IT automation

Peraton is hiring for an Automation & AIOps Leadto support the Texas Department of Information Resources (DIR) — State of Texas. TheAutomation & AIOps Leadwill provide technical leadership for infrastructure automation, DevOps/MLOps, AIOps, AI/ML operations, observability, Infrastructure as Code (IaC), ServiceNow integration, and enterprise automation capabilities supporting the Texas Private Cloud program.

The Automation & AIOps Lead will drive automation and AI-enabled operations across the program, with responsibility for theEnterprise Control Plane (ECP), Peraton[x]™ agent platform, AIOps telemetry, zero-touch infrastructure provisioning, ServiceNow integrations, AI governance, automation savings validation, and service evolution.

The ideal candidate must be located in the Austin, TX metropolitan area (or San Angelo, TX as applicable)

Key Responsibilities:

  • Serve as theWP-6 primary ownerfor Peraton[x]™ and the Optional AI Platform.
  • Driveagentic operations from transition, including GPU Resource Units (RUs) and NIST AI RMF-governed operations.
  • LeadEnterprise Control Plane (ECP) engineering, deployment, and operations.
  • Drive labor-to-software conversion supporting the targeted~21% FTE reduction over five years.
  • Manage theAnnual Automation Plan, identified as a contractual deliverable in the proposed approach, including the$10K/month late credit if absent.
  • Lead operations for thePeraton[x]™ agent family, including:
    • Predictive Intelligence
    • Digital Twin
    • AI-Orchestrated Operations
    • Continuous Risk & Compliance
    • AI-Powered PMO
    • Natural-Language Access
  • LeadInfrastructure as Code (IaC) pipeline deliverysupporting zero-touch provisioning using:
    • Terraform
    • Red Hat Ansible Automation Platform (AAP)
    • GitLab CI
  • Manage theAIOps telemetry pipeline, including:
    • Splunk ITSI
    • Dynatrace Davis AI
    • Prometheus
    • Grafana
    • OpenTelemetry
  • SupportServiceNow pre-built MSI accelerators and schema-validated flows.
  • Manageauto-provisioning accuracy, identified as an SLA-weighted area and primary credit-risk exposure.
  • SupportAI governanceusing the NIST AI Risk Management Framework (AI RMF) for Peraton[x]™ and the AI Platform.
  • Leadautomation savings reconciliation and validationfor the DIR rate glide path.
  • ManageKafka/Avro CI synchronization.
  • ManageREST/JSON IntegrationHubintegrations.
  • Manage and supportServiceNow CSDM flows.
  • Report directly to theTechnical Director.
  • Co-own theApplication Architecture domain, including ECP modulesIF-1 through IF-7.
  • Drive continuous improvement and evolution of enterprise automation, AIOps, observability, AI-enabled operations, and infrastructure management.
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