Senior Operational Systems Engineer (TS/SCI) – Chantilly

Automatic Data Processing, Inc.; Chantilly (VA); On-site; USD 115,000 - 147,000; Full time

Job summary

Automatic Data Processing, Inc. in Chantilly, VA is seeking an Operational Systems Engineer (Full Performance) to design, develop, and maintain IT systems and automation capabilities supporting mission-critical testing.

You will extend the DART platform, build cross-platform automation, and work across Linux and Windows environments with Docker, REST APIs, and IaC tools. You will collaborate with engineering teams, manage projects end-to-end, and contribute to scalable, secure automation that

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline (or equivalent combination of education and experience).
• 5+ years of relevant technical experience supporting software engineering, systems engineering, test automation, or related technical initiatives.
• 5+ years of programming experience with Python, along with strong knowledge of C++ for developing robust software applications.
• 5+ years of experience designing, architecting, and developing enterprise-scale applications.
• 5+ years of experience developing operating-system-agnostic platforms or applications supporting both Linux and Windows environments and diverse testing targets.
• Hands-on experience automating and managing multiple hypervisor platforms, including VMware and KVM, to support complex, scalable, and highly customized environments.
• Understanding DevOps principles, containerization using Docker, and CI/CD pipelines for automated testing and software deployment.
• Experience developing end-to-end automation solutions, including functionality for automated resource allocation or scaling.
• Working knowledge of authentication and authorization standards such as OAuth, JWT, and OpenID Connect.
• Strong understanding of SQL Server, including database administration or performance optimization, and/or experience with MongoDB for NoSQL data storage.

Responsibilities

• Design, develop, implement, and maintain IT systems and software capabilities that support mission network operations and end users.
• Enhance and extend the existing DART software test automation platform, including application-layer development, integration, and operational sustainment.
• Develop robust applications and automation services using Python and C++, supporting cross-platform testing and infrastructure management.
• Implement and maintain application interfaces, including RESTful APIs with Swagger documentation, while supporting existing Python bindings and legacy integrations.
• Integrate Infrastructure as Code technologies such as Ansible and Terraform with DevOps tools including Bamboo, Bitbucket, Confluence, and Jira.
• Automate the provisioning, configuration, and management of virtualized testing environments across VMware, KVM, Proxmox, physical hardware, and other hypervisor platforms.
• Evaluate technology options, assess implementation tradeoffs, and recommend solutions that meet scalability, compatibility, and operational requirements.
• Develop end-to-end automation workflows, including logic for automated resource allocation and scaling across customized testing environments.
• Support containerized applications and automated testing and deployment processes using Docker, CI/CD pipelines, and modern DevOps practices.
• Apply knowledge of network operations and the OSI model, particularly Layers 1-4, to support system integration, connectivity, and troubleshooting.
• Implement and maintain application authentication and authorization capabilities using protocols and standards such as OAuth, JWT, and OpenID Connect.
• Design, integrate, and optimize data storage solutions using SQL Server and/or MongoDB, with attention to performance, reliability, and application requirements.
• Identify opportunities to improve system efficiency, expand automation capabilities, and support both established workloads and emerging AI-enabled software development efforts.
• Document technical designs, deployment procedures, test plans, system configurations, and operational processes.
• Collaborate with engineers, colleagues, and mission partners to communicate technical approaches, explain tool functionality, and coordinate implementation and operational activities.
• Manage assigned projects from requirements gathering and design through implementation, testing, and final documentation, working independently with minimal supervision.

Skills

Python

C++

REST APIs

Docker

Ansible

Terraform

VMware

KVM

Linux

Windows

OAuth/JWT/OpenID Connect

SQL Server

MongoDB

CI/CD

Jira/Confluence/Bitbucket

Bamboo

Education

Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline

Tools

Docker

Ansible

Terraform

Bamboo

Bitbucket

Confluence

Jira

VMware

KVM

Job description

Automatic Data Processing, Inc. in Chantilly, VA is seeking an Operational Systems Engineer (Full Performance) to design, develop, and maintain IT systems and automation capabilities supporting mission-critical testing.

You will extend the DART platform, build cross-platform automation, and work across Linux and Windows environments with Docker, REST APIs, and IaC tools. You will collaborate with engineering teams, manage projects end-to-end, and contribute to scalable, secure automation that