Senior DevSecOps Engineer: Secure CI/CD for Mission Systems

The Charles Stark Draper Laboratory; Saint Petersburg (FL); In loco; USD 82.000 - 220.000; Tempo pieno

Descrizione del lavoro

Draper in St. Petersburg, Florida, seeks a Senior DevSecOps Software Engineer to drive secure, scalable software delivery across mission-oriented programs. You will architect GitLab CI/CD pipelines, manage Kubernetes workloads with Helm, and enforce policy-as-code through YAML configurations.

The role requires a BS in Computer Science, 5–10 years in software engineering, and a security mindset. Security+ is desirable; active government clearance is required.

Competenze

• Requires a bachelor’s in Computer Science or related field.
• Master’s degree is preferred.
• 5–10 years experience in Software Engineering or related field.

Mansioni

• Independently execute task assignments.
• Designs algorithms using modern theory and proven techniques, adheres to software best practices.
• Analyzes designs to demonstrate performance and functionality.
• Develops and executes software tests to check compliance with requirements.
• Prepares technical data, procedures, reports, drawings, manuals, and other required documentation.
• Communicates with customers and stakeholders to establish requirements and describe the design and deliverables.
• Drives solutions to complex problems and leads architecture of sub-systems.
• Mentors less experienced staff and leads a small team of software developers.

Conoscenze

DevSecOps

CI/CD pipelines

Kubernetes

Node.js

TypeScript

React

Security

Mentoring

Formazione

Bachelor's degree in Computer Science or related field

Master's degree preferred

Strumenti

GitLab

Helm

Helmfile

Docker/Podman

YAML

Descrizione del lavoro

Draper in St. Petersburg, Florida, seeks a Senior DevSecOps Software Engineer to drive secure, scalable software delivery across mission-oriented programs. You will architect GitLab CI/CD pipelines, manage Kubernetes workloads with Helm, and enforce policy-as-code through YAML configurations.

The role requires a BS in Computer Science, 5–10 years in software engineering, and a security mindset. Security+ is desirable; active government clearance is required.