Software Engineer (DevOps/AI/ML)

Salary: $260,000–$285,000 per year, plus $65,000–$71,000 in immediately vested company 401(k) contributions.

Company

hirify.global LLC.

What you will do

• Deploy and manage containerized AI/ML services with Docker and Kubernetes in on-premises production environments.
• Build and maintain CI/CD pipelines, GitOps workflows, and infrastructure-as-code for automated platform service delivery.
• Implement observability and monitoring with Prometheus, Grafana, and related tooling to track system health and usage metrics.
• Design resilient infrastructure patterns for high availability and performance of mission-critical capabilities.
• Collaborate with data scientists, system administrators, and stakeholders to translate operational and reliability requirements into platform engineering solutions.

Requirements

• Must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying; clearance sponsorship or processing is not available.
• 12 years of experience, plus a B.S. in a technical discipline, or 16 years of experience in place of the degree.
• Experience deploying and managing services in on-premises infrastructure environments.
• Production experience with service containerization and orchestration using Docker and Kubernetes.
• Experience with observability and monitoring tools such as Prometheus and Grafana, or equivalent platforms.
• Knowledge of CI/CD pipelines, GitOps workflows, and version control with Git.
• Experience with Atlassian tools, including Jira and Confluence.

Nice to have

• Experience with model serving technologies such as vLLM, TorchServe, TensorFlow Serving, or Triton Inference Server.
• Knowledge of AI infrastructure tools and frameworks, including LiteLLM, Bifrost, Ray, or Ollama.
• Knowledge of service mesh technologies such as Istio or Linkerd, or advanced Kubernetes patterns.
• Awareness of the current AI/ML landscape, emerging models, capabilities, and applicability to different use cases.
• Knowledge of end-to-end SIGINT collection and analysis systems.
• Experience with production CNO capabilities and operations.

Culture & Benefits

• Work centers on platform engineering and infrastructure automation rather than application development.
• Mission-focused work supports continuous availability of AI/ML capabilities for end users.
• Company 401(k) contributions of $65,000–$71,000 vest immediately.