Senior DevSecOps Engineer (ML Infrastructure)

Primary Responsibilities (Operational Duties)

MLOps Pipeline Design:

Conceptualize, Design, Build, and Maintain a secure, automated, end-to-end

MLOps pipeline

leveraging tools like

Kubeflow

and

MLflow

for continuous model training, testing, and deployment. Infrastructure as Code (IaC):

Create, manage, and support

Infrastructure as Code (IaC)

solutions utilizing

Terraform

and

Ansible

to reliably provision and manage complex platform deployments across varying

DoD classification levels (IL5/IL6)

and Cloud environments (AWS GovCloud/Azure). Kubernetes Hardening & Administration:

Implement, administer, and harden

Kubernetes

clusters (including networking, storage, and access controls) to strictly meet

DoD STIGs

and compliance standards (e.g.,

NIST 800-53, RMF ). Security Integration:

Integrate continuous security scanning tools ( SAST/DAST ) and vulnerability management directly into the

GitLab CI/CD

workflow to ensure a DevSecOps posture and enable automated DoD Iron Bank compliance. Service Mesh Implementation:

Deploy and manage service mesh technologies, such as

Istio

or Linkerd, to enforce mTLS, traffic management, and policy enforcement across containerized microservices. Automation:

Develop, manage, and support automation solutions for infrastructure and application orchestration using scripting languages such as

Python

or

Go . Basic Qualifications (Experience & Technical Stack)

A minimum of

5+ years

of experience in DevOps, Cloud/Platform Engineering, or Site Reliability Engineering (SRE). At least

3+ years

of direct, hands‑on experience administering and deploying applications on

Kubernetes . Expert‑level proficiency in defining, deploying, and managing infrastructure using

Terraform . Proficiency in scripting and development skills ( Python

or

Go ) for automation tasks and tooling. Experience with configuring and managing CI/CD pipelines, specifically

GitLab CI/CD

and container registries. Working knowledge of security controls, compliance standards, and hardening practices (STIGs, RMF, NIST). The candidate shall have a

Bachelor's

degree in Computer Science, Engineering, or a related technical field. Must possess active

DoD 8570 IAT Level II certification (Security+ or equivalent) REQUIRED . CKA (Certified Kubernetes Administrator)

or

AWS Certified Solutions Architect

certification preferred. Must be eligible for a U.S. Government

Secret / TS Clearance .

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