Software Engineer (DevOps & Platform Engineering)

You will be part of a high-impact mission delivering AI/ML capabilities to end users, focusing on building reliable and scalable infrastructure and deployment pipelines rather than application development.

Responsibilities:

Deploy and manage containerized AI/ML services using Kubernetes in on-premises environments.
Implement observability and monitoring solutions using Prometheus, Grafana, and related tooling to track system health and usage metrics.
Build and maintain CI/CD pipelines and infrastructure-as-code to enable reliable, automated deployment of platform services.
Design and implement resilient infrastructure patterns to ensure high availability and performance of mission-critical capabilities.
Collaborate with stakeholders to translate operational and reliability requirements into platform engineering solutions.

Required Skills:

Experience deploying and managing services in on-premises infrastructure environments.
Service containerization and orchestration with Docker/Kubernetes in production environments.
Experience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms.
Knowledge of CI/CD pipelines, GitOps workflows.
Atlassian Tools (Jira, Confluence).

Nice to Have:

Experience with model serving technologies (vLLM, TorchServe, TensorFlow Serving, Triton Inference Server).
Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama).

Experience Required: 12 years with Bachelor's degree in a technical discipline or 16 years without degree

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

Salary Range: $204,000 - $247,000

Senior Software Engineer