System Engineer Level 3

IntelliGenesis•Columbia, MD

108d•$170,000 - $200,000

About The Position

The System Engineer Level 3 will be responsible for designing, provisioning, and maintaining scalable Infrastructure as Code (IaC) architectures using Terraform. This role involves architecting, implementing, and optimizing CI/CD pipelines within GitLab for fast, secure, and reliable software delivery. Additionally, the engineer will deploy, manage, and scale cloud-native environments and partner with software engineering teams to streamline deployments, resolve pipeline bottlenecks, and enforce operational best practices.

Requirements

Must be a U.S. Citizen
TS/SCI clearance with polygraph
Twelve (12) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelors degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelors degree
Proven, hands-on experience writing, deploying, and managing production-grade infrastructure using Terraform, including deep knowledge of state management and modularity.
Extensive experience building and maintaining complex, automated CI/CD pipelines specifically using GitLab.
Strong understanding of cloud-native technologies, encompassing containerization (Docker), orchestration (Kubernetes), and major cloud platforms.
Solid grasp of Linux systems, cloud networking, and security principles.

Nice To Haves

Experience working with OpenAPI specifications and a background in generating, publishing, or managing SDKs to improve developer integrations.
Scripting and programming skills in Python for custom automation, building internal tooling, or interacting with cloud APIs.
Familiarity with setting up and tuning modern monitoring, alerting, and logging stacks.

Responsibilities

Design, provision, and maintain scalable Infrastructure as Code (IaC) architectures utilizing Terraform.
Architect, implement, and optimize robust CI/CD pipelines within GitLab to ensure fast, secure, and reliable software delivery.
Deploy, manage, and scale cloud-native environments.
Partner closely with software engineering teams to streamline deployments, resolve pipeline bottlenecks, and enforce operational best practices.