Senior MLOps & AI Platform Engineer

Devopsroles; Atlanta (GA); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Honeywell is seeking a Senior Advanced Software Engineer to lead MLOps, LLM and agentic AI integration, and Databricks administration in a hybrid Atlanta-based role. You will design ML pipelines, govern data lakes, and help shape AI platform initiatives.

You will report to the Director of SRE and work with software engineers, data scientists, and product managers to deliver scalable, reliable AI solutions across cloud platforms and CI/CD practices.

Qualifications

• 7+ years of DevOps/SRE experience.
• 5+ years with Azure and GCP, infrastructure automation using Terraform and Ansible, and Python.
• 5+ years building CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) and 4+ years with Docker and Kubernetes.

Responsibilities

• Design, implement, and optimize ML pipelines and AI/ML ops workflows.
• Support Azure and GCP infrastructure and Databricks governance, data lake management, and cloud platform initiatives.
• Collaborate with software engineers, data scientists, and product managers to deliver reliable AI solutions.

Skills

DevOps

SRE

MLOps

Python

CI/CD

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Ansible

GitHub Actions

Azure

GCP

Databricks

Job description

Honeywell is seeking a Senior Advanced Software Engineer to lead MLOps, LLM and agentic AI integration, and Databricks administration in a hybrid Atlanta-based role. You will design ML pipelines, govern data lakes, and help shape AI platform initiatives.

You will report to the Director of SRE and work with software engineers, data scientists, and product managers to deliver scalable, reliable AI solutions across cloud platforms and CI/CD practices.