Automation / AIOps Engineer

Node.Digital LLC; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Saving Account

401K matching

Three weeks PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital LLC in Washington, DC is seeking an Automation / AIOps Engineer to design, implement, and maintain automation workflows, IaC pipelines, and ML-driven analytics to optimize infrastructure performance and resilience.

The role emphasizes proactive problem detection, cross‑functional collaboration, and scalable templates to reduce MTTR and operational drift.

Qualifications

• Strong expertise in automation technologies, including IaC, RPA, and orchestration tools.
• Experience with AIOps practices and ML-driven operational decision support.
• Developing and maintaining automation workflows, scripts, and templates.
• Apply analytics and ML models to improve operational outcomes.
• Knowledge of cloud-native environments, virtualization, and enterprise storage.

Responsibilities

• Develop, implement, and maintain automation workflows, scripts, and templates for provisioning, configuration, and monitoring.
• Apply IaC, RPA, and AIOps capabilities to reduce manual tasks and improve MTTR/MTTD.
• Collaborate with cross-functional teams to identify automation opportunities and deliver scalable solutions.
• Utilize analytics and ML-driven insights to optimize capacity, performance, and issue resolution.

Skills

IaC

RPA

Orchestration

AIOps

Automation workflows

Analytics ML

Cloud-native

Virtualization

Enterprise storage

Problem-solving

Communication

Tools

ServiceNow

Monitoring tools

Configuration repositories

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