Job Description
We are seeking a highly experienced Sr Advanced Cloud Developer with deep expertise in cloud‑native engineering, large‑scale distributed systems, modern data platforms, and applied AI/ML. This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and elevate engineering excellence across the organization.
YOU MUST HAVE
8-12+ years of professional software or cloud engineering experience. Strong expertise in cloud‑native development on Azure, AWS, or GCP. Deep experience with Databricks, Apache Spark, Delta Lake, and large‑scale data processing. Hands‑on experience deploying ML models in production environments. Proficiency in Python and at least one additional language (Java, Scala, Go, C#, or TypeScript). Strong understanding of distributed systems, microservices, and system design. Experience with modern CI/CD pipelines. Proven ability to deliver complex, high‑impact systems at scale. WE VALUE
Bachelor's degree or higher in Computer Science or related field Experience with LLMs, vector databases, and modern AI architectures. Expertise in serverless computing, event streaming (Kafka, Event Hubs), or real‑time data processing. Familiarity with cloud‑native ML platforms (Azure ML, SageMaker, Vertex AI). Strong background in cloud security, identity management, and compliance. Experience leading engineering teams or driving multi‑team technical initiatives. Contributions to open‑source or AI/ML communities. Experience designing scalable microservices, APIs Experience with Docker, Kubernetes ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq:
HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell:
click here (https://www.honeywell.com/us/en) THE BUSINESS UNI T
Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency, and productivity of their people, plants, and assets. 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. For more information visit:
click here (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. Posting date:
May 15, 2026 ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq:
HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell:
click here (https://www.honeywell.com/us/en) THE BUSINESS UNIT
Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency and productivity of their people, plants and assets. KEY RESPONSIBILITIES
Cloud Engineering & Architecture Architect and build cloud‑native applications and platforms on Azure, AWS, or GCP. Design serverless functions, and event‑driven architectures. Implement Infrastructure‑as‑Code using Terraform, ARM/Bicep, or CloudFormation. Develop secure, automated CI/CD pipelines for continuous integration, deployment, and monitoring. Optimize cloud compute, storage, networking, and data processing for performance and cost efficiency. Enforce cloud security best practices, identity management, and compliance controls. Software Engineering Excellence Lead end‑to‑end development of mission‑critical systems with a focus on performance, reliability, and maintainability. Write high‑quality, testable code in Python, Java, Scala, Go, or C#. Conduct deep technical reviews and influence long‑term architectural direction. Drive engineering best practices across teams, including code quality, observability, and performance optimization. AI, Machine Learning & MLOps Build, train, evaluate, and deploy machine learning models using frameworks like PyTorch, TensorFlow, and Scikit‑learn. Design and maintain ML pipelines, including data ingestion, feature engineering, training, and model serving. Implement MLOps workflows using MLflow, Feature Store, Databricks Model Serving, or cloud‑native ML platforms. Collaborate with data scientists to productionize models and ensure reliability, scalability, and observability. Databricks & Data Engineering Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. Optimize large‑scale data processing jobs for performance and cost. Implement data quality, governance, and lineage frameworks. Manage Databricks clusters, jobs, workflows, and MLflow integrations. Cross‑Functional Collaboration Partner with product, data science, cloud engineering, and platform teams to deliver end‑to‑end solutions. Communicate complex technical concepts clearly to both technical and non‑technical audiences. Mentor engineers and contribute to a culture of innovation, learning, and engineering excellence.
