Sr Advanced Software Engr
Honeywell · Posted Oct 26
Building automation, industrial automation, aerospace, and energy-efficient technology solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
The team works on machine learning operations, large language model and agentic AI integration, Databricks administration, data lake management, and cloud platform projects. The role spans ML pipeline design and optimization, GCP and Azure cloud infrastructure, prompt engineering for generative and agentic AI, CI/CD practices, and Databricks platform governance and data lake operations. The engineer collaborates with engineers, data scientists, and product managers to deliver AI solutions.
What you will do
- 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, and assist with Databricks platform governance and data lake operations
- work closely with engineers, data scientists, and product managers to deliver innovative AI solutions
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 7+ years of software engineering experience, with 3+ years in ML Ops, agentic AI, Databricks, data lake, or cloud platforms.
- Knowledge of observability platform like Dynatrace for API monitoring, Lang smith for model monitoring.
- 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.
- 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 qualifications
- Experience with working as senior DEVOPS/SRE or ML OPS engineer
- 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 and support
- Compensation and benefits are detailed in the job posting
About Honeywell
Honeywell is a multinational conglomerate corporation that invents and manufactures technologies addressing tough challenges linked to global macrotrends such as safety, security, and energy. It operates major business divisions focusing on building automation, industrial automation, and enterprise performance solutions. Through continuous innovation, the company helps drive smarter, safer, and more sustainable operations worldwide.
- Industry
- Conglomerate
- Company size
- 101000+ employees
- Founded
- 1906
- Location
- Charlotte, North Carolina, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Mike Stepniak
Senior Vice President and Chief Financial Officer
Suresh Venkatarayalu
Senior Vice President and Chief Technology Officer
Recent coverage
WKZO
Honeywell Aerospace sees business aviation growth on rising aircraft use2026-10-19
Honeywell News
Honeywell Technologies Announces Quarterly Dividend2026-09-25
Honeywell News
Honeywell Technologies Reports Second Quarter Results2026-07-23