Senior DevOps & AI Engineer: ML, Cloud & On-Prem

MITRE; Bedford (MA); On-site; USD 129,000 - 194,000; Full time

Job summary

MITRE seeks a Senior Multidiscipline Engineer with emphasis on DevOps and AI to join a dynamic, multi‑discipline organization crafting innovative solutions for complex systems.

You will design and deliver DevOps/ML capabilities, implement CI/CD pipelines, and guide teams across cloud and on‑prem environments, applying AI/ML to streamline engineering workflows and improve sponsor outcomes. This is an onsite role in Massachusetts.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, or related field with 3+ years of related experience, or Master’s/PhD with relevant experience.
• Hands-on software lifecycle experience with Python/Java/C++ and modern DevOps practices.
• Cloud platforms knowledge and experience with CI/CD, containers, and Agile development.

Responsibilities

• Lead design, prototyping, and delivery of DevOps and AI/ML capabilities for systems engineering.
• Architect CI/CD pipelines, containerized deployments, and MLOps across cloud/on‑prem environments.
• Apply AI/ML to improve engineering workflows and automate complex processes.
• Promote modeling and data management across teams; develop reusable artifacts and reference architectures.
• Modernize legacy IT with secure, scalable solutions, advancing cloud adoption.
• Mentor junior engineers and collaborate across multi-disciplinary teams.

Skills

Python

Java

C++

CI/CD

Agile methodologies

Cloud platforms

Teamwork

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

AWS

Azure

GCP

Job description

MITRE seeks a Senior Multidiscipline Engineer with emphasis on DevOps and AI to join a dynamic, multi‑discipline organization crafting innovative solutions for complex systems.

You will design and deliver DevOps/ML capabilities, implement CI/CD pipelines, and guide teams across cloud and on‑prem environments, applying AI/ML to streamline engineering workflows and improve sponsor outcomes. This is an onsite role in Massachusetts.