Senior Software Engineer

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 Questions about this role or want to learn more about Neural Solutions?

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