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
Skills Required
- Expertise in automation technologies including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools
- Proficiency in AIOps practices using AI and machine learning for operational decision support
- Experience developing and maintaining automation workflows, scripts, and reusable 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
- 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
- Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Machine Learning - Specialty, or Google Cloud Professional Machine Learning Engineer
What We Do
We Love Building Innovative Digital Solutions using Automation and A.I./ML to Solve Complex Problems for our Customer's Mission
