Senior AI & Data Platform DevOps Engineer

Boston University; Boston (MA); Híbrido; USD 150.000 - 211.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Time Off

Retirement plan

Tuition assistance

Descripción de la vacante

Boston University IS&T is seeking a Senior DevOps Engineer to join the AI and Data Engineering team. You will design and maintain scalable AI and data platforms across cloud, on-premise, and hybrid environments, leading deployment strategies and automation.

You will work with groundbreaking AI technologies, including LLM/SLM hosting, RAG and A2A workflows, to deliver reliable, secure solutions that support university operations and research.

Formación

• Degree in Computer Science, Software Engineering, or related field.
• 5+ years of applicable work experience.
• Strong understanding of DevOps practices, scalable architectures, and modern security standards.
• Experience with containerization and multi-environment deployment (on-premise, cloud, hybrid).
• Proficiency in modern programming languages and AI technologies.

Responsabilidades

• Design and maintain scalable AI and Data platforms across cloud, on‑premise, and hybrid environments.
• Lead DevOps architecture, deployment strategies, automation, and infrastructure standards.
• Build and optimize containerized environments using Kubernetes, Docker, AWS ECS, and EKS.
• Develop and support AI applications, agents, integrations, and data pipelines with engineering teams.
• Host, configure, and fine‑tune LLM/SLMs; ensure monitoring, security, and reliability.

Conocimientos

DevOps expertise

Scalable architectures

Security standards

AI/ML tech familiarity

CI/CD tooling

Educación

Bachelor's degree in CS/related field

Herramientas

Kubernetes

Docker

AWS ECS/EKS

CI/CD tooling

Descripción del empleo

Boston University IS&T is seeking a Senior DevOps Engineer to join the AI and Data Engineering team. You will design and maintain scalable AI and data platforms across cloud, on-premise, and hybrid environments, leading deployment strategies and automation.

You will work with groundbreaking AI technologies, including LLM/SLM hosting, RAG and A2A workflows, to deliver reliable, secure solutions that support university operations and research.