DevSecOps / Systems Engineer

SAPPHIRE INNOVATIVE SOLUTIONS INC
San Diego, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 156K

Job location

San Diego, United States of America

Tech stack

Artificial Intelligence
Systems Engineering
Azure
Cloud Engineering
Computer Security
Continuous Delivery
Continuous Integration
Linux
Distributed Systems
Python
Network Architecture
Zero Trust Network Access
Software Engineering
Software Factory
Software Systems
Systems Integration
Istio
Delivery Pipeline
Gitlab
Containerization
Gitlab-ci
Kubernetes
Linkerd (Service Mesh)
Operational Systems
Terraform
Devsecops
Docker
Jenkins
Microservices

Job description

The DevSecOps / Systems Engineer will support the engineering, deployment, integration, and sustainment of modern software solutions within Department of Defense environments. This position requires expertise in systems engineering, secure software delivery pipelines, cloud-native technologies, and deployment of containerized applications into operational Navy environments.

The selected candidate will play a key role in integrating modern software capabilities into mission systems while ensuring cybersecurity compliance, scalability, and operational effectiveness., * Support systems engineering activities across the software development lifecycle including requirements analysis, architecture, integration, testing, deployment, and sustainment.

  • Design, configure, and support DevSecOps environments and continuous integration/continuous deployment (CI/CD) pipelines.
  • Deploy and maintain applications within the Overmatch Software Armory (OSA) or equivalent DoD software factory environments.
  • Integrate containerized applications, microservices, and distributed computing technologies into Department of Navy operational environments.
  • Support deployment and integration activities involving CANES and Navy tactical computing environments.
  • Implement infrastructure automation and secure deployment strategies using DevSecOps methodologies.
  • Collaborate with software engineers, AI engineers, Naval Operations SMEs, and cybersecurity teams to deliver mission-focused capabilities.
  • Support software modernization efforts, testing activities, and operational demonstrations.
  • Assist in implementing Zero Trust and cybersecurity best practices across software environments.
  • Participate in technical reviews, customer engagements, and architecture discussions.

Requirements

Do you have experience in Systems integration?, * Minimum five (5) years of Department of Defense systems engineering experience supporting software-intensive environments.

  • Demonstrated experience deploying applications within:
  • Overmatch Software Armory (OSA)
  • Equivalent DoD software factory environments
  • DevSecOps environments
  • CI/CD pipelines
  • Demonstrated experience integrating:
  • Containerized applications
  • Microservice architectures
  • Service mesh technologies
  • Distributed computing environments
  • Experience supporting Department of Navy operational systems including environments such as:
  • CANES
  • Tactical and operational network architectures
  • Fleet mission systems

Required Certifications

Possession of DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification supporting Cyber Workforce Framework (CSWF) requirements, including:

  • Security+ CE
  • CySA+
  • Equivalent approved certification

Desired Qualifications

  • Experience supporting Department of Navy or Joint operational programs
  • Experience with Kubernetes, Docker, and container orchestration platforms
  • Experience with GitLab, Azure DevOps, Jenkins, or similar CI/CD tools
  • Knowledge of cloud-native architectures and Infrastructure as Code
  • Familiarity with Zero Trust architectures and cybersecurity engineering principles
  • Experience supporting software modernization and experimentation environments
  • Experience integrating AI-enabled capabilities into operational systems

Preferred Technical Skills

  • Kubernetes
  • Docker
  • GitLab CI/CD
  • Azure DevOps
  • Jenkins
  • Helm
  • Service Mesh (Istio, Linkerd, etc.)
  • Terraform
  • Python
  • Linux
  • Infrastructure as Code
  • Zero Trust Architecture

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