Sr. DevSecOps Engineer I (6490)

MetroStar•Reston, VA

About The Position

As Sr. DevSecOps Engineer I, you’ll be a focused cloud engineer with a strong foundation in building and securing modern, cloud-native systems, combining software development expertise with infrastructure and automation. Skilled in designing resilient deployment pipelines and managing containerized workloads in Kubernetes-based environments, with an emphasis on security, scalability, and compliance. Brings a practical, systems-level understanding of how applications, infrastructure, and networking layers interact to deliver reliable and secure solutions. We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

Requirements

An active, or the ability to obtain a, Secret level clearance or higher
4+ years of experience in a DevSecOps cloud role.
Strong Linux administration and Bash scripting skills; experience with DISA STIGs is desirable.
Strong experience developing tools with Golang or Python asyncio.
In-depth experience designing CI/CD pipelines with rigorous security and testing stages.
Deep understanding and practical experience with the HTTP protocol and web servers.
Deep understanding of containerization and how containers work.
Experience working with CNCF landscape technologies.
Experience deploying Kubernetes workloads with IaC.
Experience deploying FedRAMP or DoD IL2 equivalent public cloud workloads with IaC.

Responsibilities

Work in product-focused Agile teams, participating in ceremonies and directly supporting developers and government customers.
Continuously improve product infrastructure and platform capabilities using automation to support developers, data scientists, and AI-enabled workflows.
Support development teams by using automation to deploy, maintain, and troubleshoot web applications and AI-enabled services, progressing from IL2 to IL4+ secure cloud environments.
Design, develop, and maintain CI/CD pipelines that support application delivery, experimentation, and software supply chain requirements.
Automate the provisioning of virtual machines and container platforms using configuration management, enabling consistent and repeatable environments for development, testing, and deployment.
Enable secure access to cloud services and internal capabilities via custom APIs, including token-based access controls and service-to-service authentication.
Support secure experimentation environments, including notebooks and web-based IDEs (e.g., VS Code), while enforcing security and access controls.
Implement and maintain secure package management, artifact repositories, and controlled dependency update processes.
Support secure data transfer and access to segmented environments by integrating SSO and role-based access controls across platform services.
Monitor application and infrastructure health, performance, and availability using enterprise observability tools.