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Honeywell · 6 hours ago

Software Engineer II

Atlanta, GA

Full-time

Onsite

Mid Level

3+ years exp

Honeywell helps organizations solve the world's most complex challenges in automation and energy transition. They are seeking a Software Engineer II to contribute to machine learning operations, large language model integration, and cloud platform projects, focusing on designing and optimizing ML pipelines and supporting cloud infrastructure.

AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService Industry

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Contribute to our machine learning operations (ML Ops), large language model (LLM) and agentic AI integration, Databricks administration, data lake management, and cloud platform projects

Help design, implement, and optimize ML pipelines

Support cloud infrastructure (GCP & Azure)

Participate in prompt engineering for generative and agentic AI

Contribute to CI/CD practices

Assist with Databricks platform governance and data lake operations

Work closely with engineers, data scientists, and product managers to deliver innovative AI solutions

Qualification

ML OpsDatabricksCloud platformsPythonCI/CD pipelinesData lake solutionsGCPAzureContainerizationCommunication skillsProblem-solving skills

Required

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

3 years of software engineering experience, with 2 years in ML Ops, agentic AI, Databricks, data lake, or cloud platforms

Experience with ML Ops tools (MLflow, Kubeflow, Vertex AI, Azure ML, etc.)

Exposure to LLMs (OpenAI, Google Gemini, Azure OpenAI, etc.), agentic AI systems, and prompt engineering

Familiarity with Databricks platform administration, deployment, and troubleshooting

Experience with data lake solutions (Azure Data Lake, GCP BigLake, etc.)

Proficiency in Python; experience with other languages is a plus

Working knowledge of GCP and Azure cloud services

Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.)

Understanding of containerization (Docker, Kubernetes)

Experience with data engineering, ETL, or big data technologies

Good communication and problem-solving skills

Preferred

Experience with working as DEVOPS/SRE or ML OPS

Familiarity with MLOps for LLMs, agentic AI, or generative AI

Contributions to open-source projects

Certifications in GCP, Azure, Databricks, Data Lake, or ML Ops

Benefits

Employer subsidized Medical

Dental

Vision

Life Insurance

Short-Term and Long-Term Disability

401(k) match

Flexible Spending Accounts

Health Savings Accounts

EAP

Educational Assistance

Parental Leave

Paid Time Off (for vacation, personal business, sick time, and parental leave)

12 Paid Holidays

Company

Honeywell

Glassdoor4.0

Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries.

Founded in 1906

Charlotte, North Carolina, USA

10001+ employees

http://www.honeywell.com

Funding

Current Stage

Public Company

Total Funding

$11.4M

2009-10-27Grant· $11.4M

1985-09-27IPO

Leadership Team

Jim Masso

President & CEO - Honeywell Process Solutions

Vimal Kapur

Chairman and Chief Executive Officer

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Company data provided by crunchbase