Automation / AIOps Engineer

Node.Digital; Washington; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Saving Account

401K matching

Three weeks of PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital is seeking an Automation / AIOps Engineer in Washington, DC, to design and implement automation workflows using IaC and RPA, while applying ML-driven insights to improve operational resilience.

You will develop scalable automation templates, monitor systems, and coordinate with stakeholders to reduce MTTR and optimize capacity in enterprise environments.

Qualifications

• Experience building automation workflows and IaC pipelines.
• Proficiency in AIOps practices and ML-driven insights.
• Experience with cloud-native environments and virtualization.
• Strong problem solving and cross-functional collaboration.
• Ability to automate provisioning, monitoring, patching, and reporting.

Responsibilities

• Develop, implement, and maintain automation workflows, scripts, and templates.
• Apply analytics and machine learning-driven insights to proactively identify and resolve issues.
• Collaborate with cross-functional teams and stakeholders to optimize operations.
• Leverage IaC and RPA to transform repetitive tasks into automated processes.
• Monitor, maintain, and improve automation quality and scalability.

Skills

IaC

RPA

AIOps

Automation scripts

Cloud-native

Troubleshooting

Collaboration

Tools

Kubernetes

Terraform

ServiceNow

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).

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.

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