Senior Advanced Software Engineer

We are seeking a talented Senior Advanced Software Engineer to support our MLOps, LLM and agentic AI integration, Databricks administration, data lake management, and cloud platform initiatives.

The ideal candidate will design, implement, and optimize ML pipelines; support GCP and Azure infrastructure; develop prompts for generative and agentic AI solutions; contribute to CI/CD practices; and help govern Databricks and data lake operations. This role works closely with software engineers, data scientists, and product managers to deliver reliable, innovative AI solutions.

You will report directly to our Director of SRE, and you'll work out of our Atlanta, GA location on a hybrid work schedule.

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

YOU MUST HAVE

• 7+ years of DevOps/Site Reliability Engineering (SRE) experience.
• 5+ years of hands-on experience with Azure and GCP, infrastructure automation using Terraform and Ansible, and development/scripting with Python.
• 5+ years of experience building and managing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins), plus 4+ years of experience with Docker and Kubernetes.

WE VALUE

• Advanced Platform Engineering Experience -

Experience as a senior DevOps, SRE, or MLOps engineer, with a proven track record supporting Azure and GCP cloud, data, and AI platforms.

• Bachelor''s degree in computer science, Engineering, or a related field.
• AI/ML Operations Expertise -

Experience with MLOps practices for LLMs, generative AI, and agentic AI, including observability and monitoring platforms (e.g., Dynatrace, LangSmith), MLOps tools (e.g., MLflow, Kubeflow, Vertex AI, Azure ML), and Databricks administration.

• Industry Engagement & Certifications -

Contributions to open-source projects and relevant certifications in Azure, GCP, Databricks, MLOps, data lake technologies, or AI/agentic AI platforms, supported by strong communication, collaboration, analytical, and problem-solving skills.

• Experience in one or more of the following areas: MLOps, Agentic AI/LLM platforms, Databricks administration, data lake operations, or cloud platform engineering

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posted: October 05, 2026

About Honeywell Technologies

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

THE BUSINESS UNIT

Corporate (Corp) at Honeywell provides centralized services and strategic support that enable our global business units to operate efficiently and effectively. The unit focuses on delivering innovative IT solutions, financial services, and operational excellence to drive growth and create value across the enterprise.

Responsibilities

• The Individual will work in devops and SRE in forge & AI team.

• The individual will take care of CI/CD, deployment of AI/ML OPS pipeline and agentic AI deployment.

• The individual will work on Azure, GCP and data platform data bricks governance and make sure SRE best practice is followed.

Responsibilities

• The Individual will work in devops and SRE in forge & AI team.

• The individual will take care of CI/CD, deployment of AI/ML OPS pipeline and agentic AI deployment.

• The individual will work on Azure, GCP and data platform data bricks governance and make sure SRE best practice is followed.