Senior Software Engineer with Security Clearance

Neural Solutions; Columbia (MD); On-site; USD 204,000 - 247,000; Full time

Job summary

Neural Solutions in Columbia, MD seeks a Software Engineer - DevOps for Platform Engineering & Infrastructure Automation to deploy containerized AI/ML services and build scalable infrastructure. You will work with data scientists and admins to ensure high availability of mission-critical services.

Responsibilities include deploying on-prem Kubernetes-based services and implementing robust observability with Prometheus and Grafana.

Qualifications

• Experience deploying and managing services in on-premises infrastructure.
• Containerization and orchestration with Docker/Kubernetes in production.
• Experience with observability and monitoring tools such as Prometheus or Grafana.

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.

Skills

On-prem deployments

Docker & Kubernetes

Observability tooling

Education

Bachelor's degree in a technical field

Tools

Prometheus

Grafana

Docker

Kubernetes

Job description

Software Engineer - DevOps, Platform Engineering & Infrastructure Automation You will be part of a high-impact team delivering AI/ML capabilities to end users by building reliable and scalable infrastructure. Your role involves deploying containerized services using Kubernetes and implementing comprehensive observability solutions. You will work closely with data scientists and system administrators to ensure the continuous availability of mission-critical services.

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.

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.

Nice to Have

• Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama).
• Awareness of the current AI/ML landscape including emerging models and applicability to different use cases.

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

Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000