Computer Programmer

Reimagining Infrastructure through AI-Assisted Engineering

In this role, you will bridge the gap between bioscience research and cloud technology by designing resilient infrastructure for massive AI/ML workloads. You will be responsible for creating 'golden paths' that simplify deployment for developers, ensuring that vital research data flows through secure, automated, and observable pipelines.

A Vibe-First Tech Stack

This position is specifically designed for engineers who leverage AI coding assistants to manage complex environments. Key responsibilities include:

• Automation & IaC: Using AI tools to draft and refine Terraform, Ansible, and Python scripts for cloud-native platforms.
• Orchestration: Managing containerized ecosystems using Docker and Kubernetes to support model training and high-performance compute.
• System Reliability: Implementing AIOps and observability frameworks to maintain the health of critical research tools used by the NIH.

Growth and Impact

By joining a team that values emerging technologies like MLOps and shift-left automation, you’ll have the opportunity to define how AI assistants transform traditional SRE roles. You will support cloud migrations and platform standardization while mentoring other engineers on the integration of AI-driven development practices into their daily workflows.