Site Reliability Engineer — AI Research Infra

Northeastern University; United States; Sur place; USD 88 000 - 124 000; Plein temps

Résumé du poste

NDIF at Northeastern University seeks an experienced Site Reliability Engineer to enhance reliability and coordinate day-to-day operations of its growing AI research platform. This hands-on role offers latitude to tackle complex problems, prioritize work, and deliver innovations with minimal oversight.

ML/AI safety and interpretability knowledge is a plus. The successful candidate will operate production systems, own end-to-end services, and drive observability, CI/CD, and infrastructure-as-code

Qualifications

• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
• At least 3 years of experience or more in site reliability engineering (SRE) or a closely related role.
• Experience operating distributed systems in production, with a track record of owning complex systems end to end.
• Strong Python skills and comfort working with backend services.
• Experience with observability tooling such as Prometheus and Grafana, or equivalent tools.
• Working command of CI/CD pipelines, automated testing, and infrastructure as code.
• Judgment to debug and optimize systems with minimal guidance, along with communication skills that keep teams aligned.
• Genuine interest in AI safety, interpretability, and supporting interdisciplinary research.
• Preferred: Knowledge of MLOps

Responsabilités

• Measure and improve the reliability, availability, and performance of the platform used by research teams.
• Build and maintain observability systems so issues are detected early and debugging is proactive rather than reactive.
• Improve operational tooling and automation, including CI/CD, automated testing, and infrastructure as code.
• Create effective workflows for debugging and resolving issues across the distributed stack (Ray connectivity, GPU/resource allocation, scheduling).
• Partner with the broader NDIF team to keep the system dependable and usable as user needs evolve.
• Establish and advocate for operational best practices as the platform grows.

Connaissances

Python

CI/CD

Observability

Debugging

Communication

Formation

Bachelor's degree or equivalent

Outils

Prometheus

Grafana

Infrastructure as Code

Description du poste

NDIF at Northeastern University seeks an experienced Site Reliability Engineer to enhance reliability and coordinate day-to-day operations of its growing AI research platform. This hands-on role offers latitude to tackle complex problems, prioritize work, and deliver innovations with minimal oversight.

ML/AI safety and interpretability knowledge is a plus. The successful candidate will operate production systems, own end-to-end services, and drive observability, CI/CD, and infrastructure-as-code