DevSecOps Platform Engineer at MANTECH | Jobyssey

MANTECH seeks a motivated, career and customer-oriented DevSecOps Platform Engineer to join our team in Tampa, FL.

The DevSecOps Engineer (Platform Team) will leverage their strong technical background and knowledge as a platform team developer responsible for developing and managing the CI/CD pipelines of a wide variety of applications. This role functions as a "generalist" on CI/CD pipeline and security requirements with strong knowledge of the platform as a whole to ensure the successful delivery of enterprise software solutions.

Responsibilities include but are not limited to:

Develop and manage infrastructure as code (IaC) using Terraform, Ansible, and/or AWS Cloud Formation Templates.
Provision and configure cloud service provider (CSP) systems including Google Cloud Provider (GCP), Microsoft Azure, and Amazon Web Services (AWS) to ensure reliable and scalable solutions.
Developing, testing, and maintaining containerized applications to support the Sponsor’s system accreditation efforts.
Building and maintaining CI/CD pipelines for a large enterprise consisting of hundreds of applications using Jenkins, GitLab, or similar tools.
Implementing DevSecOps methodologies and managing source version control and build/release tools.
Supporting the software build process and ensuring all systems meet security-first requirements.
Maintaining system baselines and configuration management items, including security event monitoring policies for automated pipelines.
Recommending, and when approved, implementing process and policy improvements for pipeline efficiency and security.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, Math, or a related field.
5+ years of experience in software systems development and management.
Proficiency with Terraform, Ansible, and/or AWS Cloud Formation Templates.
Experience provisioning and configuring CSP systems (GCP, Microsoft Azure, AWS).
Experience deploying and configuring CSP SaaS offerings (API gateways, SaaS databases, etc.).
Knowledge of programming or scripting languages (Python, Bourne Shell, etc.).
Experience building CI/CD pipelines using tools like GitLab.
Proficiency in containerization with Docker, Podman, or Kubernetes.
Experience securing software through code and container scans.

Preferred Qualifications:

Experience with MLOps, including building and deploying machine learning models.
Knowledge of generative AI technologies.
Experience with SaaS AI tools such as AWS SageMaker.
Experience with network configuration and management.
Understanding of Zero Trust security principles.
Experience with the Sponsor’s primary cyber risk and compliance automation tools.

Clearance Requirements:

Must have an Secret with the ability to obtain and maintain TS/SCI.

Physical Requirements:

Must be able to remain in a stationary position 50%.
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc..
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Must be able to exchange accurate information in these situations.

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