MLOps Engineer – CI/CD & Simulation - TS/SCI

Parsons Corporation•Tampa, FL

1d•$103,500 - $181,100

About The Position

Parsons is seeking a talented MLOps & CI/CD Pipeline Developer to join their innovative team. In this role, the individual will collaborate directly with high-performing data science and analysis teams to operationalize machine learning models and automate large-scale simulation pipelines. The focus will be on engineering: designing robust CI/CD pipelines and performing hands-on systems engineering to build, maintain, and scale development, testing, and simulation environments. This role supports critical modeling and simulation efforts for national security.

Requirements

Must be a U.S. Citizen
Must have an active TS/SCI clearance
Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, or a related technical field.
5+ years of experience in DevOps, MLOps, or Systems Engineering with a strong focus on infrastructure automation, environment build-outs, and pipeline development; additional years of experience will be considered in lieu of a degree.
Hands-on experience with automated deployment tools (e.g., GitLab CI/CD, Jenkins, GitHub Actions).
Proficiency with Docker and orchestration platforms like Kubernetes to manage large-scale simulation and test environments.
Proficiency in Python or Bash for building automation scripts, data connectors, and tooling.
Strong communication and teamwork skills, with the ability to work effectively in a collaborative environment.
An active Top Secret SCI security clearance is required for this position.

Nice To Haves

Experience supporting simulation-heavy workflows or automating data ingest/egress for tools like AFSIM (no AFSIM coding experience necessary).
Familiarity with MLOps frameworks and model registries (e.g., MLflow, Kubeflow).
Knowledge of infrastructure-as-code tools like Terraform or Ansible.
Experience handling real-time data streaming technologies (e.g., Apache Kafka).
Interest in professional growth and learning new technologies.

Responsibilities

Design, implement, and maintain secure, automated CI/CD pipelines to streamline the deployment of machine learning models and software components into simulation environments.
Collaborate with data scientists and analysts to automate model training, testing, data versioning, and experimentation workflows.
Build, configure, and manage large-scale development and test environments to support robust modeling, simulation, and experimentation workloads.
Use configuration management and infrastructure automation tools to efficiently provision and manage testbed and simulation resources.
Participate in technical interchange meetings with team members and U.S. government customers, providing infrastructure expertise to support modeling and simulation goals.
Contribute to a collaborative, mission-driven team environment, sharing knowledge and supporting continuous improvement.