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Automation / AIOps Engineer

Node.Digital

Washington, DCJobNo compensation foundTracked 1mo agoSeen in employer's feed 2 days ago
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At a glance

Compensation
No compensation found
Location
Washington, DC
Work Authorization
Not specified

Job overview

Node.Digital is hiring an Automation / AIOps Engineer. The Automation / AIOps Engineer will develop, implement, and maintain automation workflows, scripts, orchestration routines, and reusable templates. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform manual tasks into automated outcomes. The role involves applying advanced analytics and machine learning-driven insights to proactively identify and resolve infrastructure and platform issues, optimize capacity and performance, and reduce detection and restoration times.

Key focus areas include Develop, implement, and maintain automation workflows, scripts, orchestration routines, and reusable templates, Support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities, and Leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities.

Important skills include Automation Technologies, Infrastructure as Code, RPA, Orchestration Tools, AIOps Practices, and Artificial Intelligence. Preferred (not required): NLP, Computer Vision, TensorFlow-Based ML Models, and scikit-learn.

Skills & qualifications

RequiredNice to have

Skills

Automation TechnologiesInfrastructure as CodeRPAOrchestration ToolsAIOps PracticesArtificial IntelligenceMachine LearningDeveloping Automation WorkflowsDeveloping Automation ScriptsDeveloping Automation TemplatesMaintaining Automation WorkflowsMaintaining Automation ScriptsMaintaining Automation TemplatesAdvanced AnalyticsCloud-Native EnvironmentsVirtualization PlatformsEnterprise Storage SystemsProblem-SolvingCommunicationCollaborationNLPComputer VisionTensorFlow-Based ML ModelsScikit-LearnPandasAI/ML PipelinesFoundation Model PromptsFinOps PracticesCost Management ToolsServiceNowMonitoring ToolsConfiguration Repositories

Qualifications

US CitizenCertified Kubernetes AdministratorCertified Kubernetes Application DeveloperAWS Certified Machine Learning – SpecialtyGoogle Cloud Professional Machine Learning Engineer

Benefits

Medical Insurance
Dental Insurance
401(k) Match
Paid Time Off
Vision Insurance

Full job description

Automation / AIOps Engineer

Location: Washington, DC

Preferred: US Citizen

Job Description:

The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes. The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).

Requirements

Required Skills:

  • Strong expertise in automation technologies, including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools.

  • Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.

  • Experience in developing and maintaining automation workflows, scripts, and templates.

  • Ability to apply advanced analytics and machine learning models to improve operational outcomes.

  • Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.

  • Strong problem-solving skills to detect operational drift and emerging failure conditions.

  • Excellent communication and collaboration abilities to work with cross-functional teams and stakeholders.

Nice To Have:

  • Familiarity with natural language processing (NLP), computer vision, and TensorFlow-based ML models.

  • Experience with scikit-learn and pandas for processing operational data at scale.

  • Knowledge of AI/ML pipelines and foundation model prompts.

  • Understanding of FinOps practices and cost management tools.

  • Experience with ServiceNow, monitoring tools, and configuration repositories.

  • Ability to collaborate with infrastructure automation teams and other contractor teams.

Certifications:

  • Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.

  • Certifications in AIOps and machine learning, such as AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical

  • Dental

  • Vision

  • Basic Life

  • Health Saving Account

  • 401K matching

  • Three weeks of PTO/Sick

  • 11 Paid Holidays

  • Pre-Approved Online Training

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