Systems Engineer - TS/SCI w/Polygraph

General Dynamics Information Technology

Herndon (VA)

On-site

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility support

Paid education and certifications

Job summary

General Dynamics Information Technology is seeking a Systems Engineer in the Herndon area to support a secure, on-prem, Kubernetes-based environment. You will apply DevOps practices, automate deployment pipelines, and ensure secure, scalable operations for the motion imagery software stack.

The role requires a TS/SCI with Polygraph clearance and 10+ years of DevOps experience, plus a Engineering/related degree or equivalent experience.

Qualifications

Active TS/SCI with Polygraph clearance.
10+ years of DevOps engineering experience.
Bachelor's or Technology degree in Engineering or related field, OR equivalent 14 years job-related experience.
Demonstrated experience employing DevSecOps principles, including strict configuration management and continuous delivery.
Demonstrated experience in building, securing, and operating containers in a dynamic environment.
Experience in a Kubernetes-based environment with understanding, administering clusters, and Helm.
Knowledge of container and Linux host networking.
Experience with Apache Kafka.
Experience with Elastic stack.
Excellent organizational, coordination, interpersonal and team building skills.
Location: At Customer Site - Herndon area.

Responsibilities

Provide an array of skills within DevOps discipline.
Develop and/or scripting tasks (Bash, Python, Java, C#, etc).
Linux OS maintenance and operations.
Manage source code and artifact repositories (Git, Nexus/Artifactory).
Work with automation tools such as Ansible, Jenkins, Rundeck.
Build/packaging with Gradle, Maven, Poetry.
Support deployments and operations in a Kubernetes environment, including Helm-based workloads.

Skills

DevOps engineering

Scripting (Bash, Python)

Linux OS

Kubernetes

Helm

Git

Jenkins

Ansible

Rundeck

Gradle/Maven/Poetry

Education

Bachelor's degree in Engineering or related field

Equivalent 14 years relevant experience

Tools

Git

Nexus/Artifactory

Container registries

Helm

Docker

Jenkins

Ansible

Rundeck

Gradle

Maven

Poetry

Job description

Ensure the safety and security of our nation as a Systems Engineer at GDIT. You'll apply the latest technology and provide operational support to deliver actionable intelligence for the Intelligence Community. Here, your work will have meaning and impact as you deliver your best every day.

At GDIT, people are our differentiator. As Systems Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on the Systems Engineer joining our team to support the deployment of systems and capabilities centered on our comprehensive motion imagery software suite. The Systems Engineer will support operations of a non-internet accessible on-prem hybrid environment built primarily on Kubernetes.

HOW A SYSTEMS ENGINEER WILL MAKE AN IMPACT:

The candidate will be expected to provide an array of skills within DevOps discipline.
Development and/or scripting skills (e.g., Bash, Python, Java, C#, etc)
Linux OS experience
Systems engineering experience
Source code management tools (Git, etc) and artifact repositories (Nexus/Atifactory, container registries, etc)
Experience with automation tools such as Ansible, Jenkins, Rundeck, etc
Experience with build/packaging tools such as Gradle, Maven Poetry, etc

WHAT YOU'LL NEED TO SUCCEED:

The position requires an active TS/SCI with Polygraph clearance
10+ years of related DevOps engineering experience
Bachelor's or Technology degree in Engineering or a related specialized area/field, OR equivalent 14 years job-related experience
Demonstrated experience employing DevSecOps principles, including strict configuration management, configuration-as-code, and continuous delivery
Demonstrated experience in building, securing, and operating containers in a dynamic environment
Experience working in a Kubernetes-based environment, including:
- A basic understanding of how Kubernetes works
- Experience using and/or administering Kubernetes clusters
- Experience building and deploying workloads using Helm