Software Engineer II - (DevOps, SRE & AI)
Honeywell
•
Atlanta, GA
0
0
0
0
Not Applicable
Posted March 30, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- Design and deploy API in Azure and GCP using multiple programming language
- Manage production system and data pipeline in prod environment
- On call support for any production issue for troubleshooting
- Work with data engineering, API development team to deploy release on time
- Automate things to improve developer experience
- Manage deployment in Azure and GCP cloud
- Partner with security team to remediate security issues in infrastructure.
Commitments
You will report directly to the Sr Software Engineering Manager and work out of our Atlanta, GA location on a hybrid work schedule.
For the first 90 days, New Hires must be prepared to work 100% onsite M-F.
On call support for any production issue for troubleshooting
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: 3/9/2026
Us Person Requirements
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S.
Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
Not Met Priorities
What still needs stronger evidence
Requirements
- 2+ years of software engineering experience, with exposure to ML Ops, cloud platforms, or DevOps practices.
- Strong proficiency in Python (required).
- Working knowledge of CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, GitLab CI, etc.).
- Experience with Docker containers and container orchestration.
- Familiarity with Kubernetes for deploying and managing containerized applications.
- Experience with API management (design, development, versioning, documentation).
- Exposure to cloud platforms (GCP and/or Azure).
- Understanding of ML Ops tools and frameworks (MLflow, Kubeflow, Vertex AI, Azure ML, etc.).
- Experience with version control systems (Git) and collaborative development workflows.
- Basic understanding of data pipelines, ETL processes, or data engineering concepts.
- Good communication, problem-solving, and teamwork skills.
Preferred Skills
- Experience with AKS, EKS, GKE any one Kubernetes platform.
- Experience with LLMs (OpenAI, Google Gemini, Azure OpenAI) or generative AI applications.
- Familiarity with Databricks platform or data lake solutions (Azure Data Lake, GCP BigLake).
- Knowledge of infrastructure as code (Terraform, ARM templates, Deployment Manager).
- Experience with monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring).
- Understanding of microservices architecture and RESTful API design principles.
- Exposure to service mesh technologies (Istio, Linkerd) or API gateways (Kong, Apigee).
- Experience with Python frameworks (FastAPI, Flask, Django) for API development.
- Familiarity with agile development methodologies.
- Contributions to open-source projects or technical communities.
Education
- (Not required) – Bachelor's degree in Computer Science, Engineering, or related field.
Job Description
We are seeking a motivated Software Engineer II to support our machine learning operations (ML Ops), CI/CD infrastructure, cloud platform projects, and API management initiatives. The ideal candidate will help maintain Container Platform, CICD Platform, Multi Tech Stack CICD Template Development, MLOps, support cloud infrastructure (GCP & Azure), contribute to automation practices, and assist with platform operations. You will collaborate with engineers, data scientists, and product managers to deliver scalable solutions.
You will report directly to the Sr Software Engineering Manager and work out of our Atlanta, GA location on a hybrid work schedule. For the first 90 days, New Hires must be prepared to work 100% onsite M-F.
Responsibilities
Design and deploy API in Azure and GCP using multiple programming language
Manage production system and data pipeline in prod environment
On call support for any production issue for troubleshooting
Work with data engineering, API development team to deploy release on time
Automate things to improve developer experience
Manage deployment in Azure and GCP cloud
Partner with security team to remediate security issues in infrastructure.
Qualifications
YOU MUST HAVE
Bachelor's degree in Computer Science, Engineering, or related field.
2+ years of software engineering experience, with exposure to ML Ops, cloud platforms, or DevOps practices.
Strong proficiency in Python (required).
Working knowledge of CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, GitLab CI, etc.).
Experience with Docker containers and container orchestration.
Familiarity with Kubernetes for deploying and managing containerized applications.
Experience with API management (design, development, versioning, documentation).
Exposure to cloud platforms (GCP and/or Azure).
Understanding of ML Ops tools and frameworks (MLflow, Kubeflow, Vertex AI, Azure ML, etc.).
Experience with version control systems (Git) and collaborative development workflows.
Basic understanding of data pipelines, ETL processes, or data engineering concepts.
Good communication, problem-solving, and teamwork skills.
WE VALUE
Experience with AKS, EKS, GKE any one Kubernetes platform.
Experience with LLMs (OpenAI, Google Gemini, Azure OpenAI) or generative AI applications.
Familiarity with Databricks platform or data lake solutions (Azure Data Lake, GCP BigLake).
Knowledge of infrastructure as code (Terraform, ARM templates, Deployment Manager).
Experience with monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring).
Understanding of microservices architecture and RESTful API design principles.
Exposure to service mesh technologies (Istio, Linkerd) or API gateways (Kong, Apigee).
Experience with Python frameworks (FastAPI, Flask, Django) for API development.
Familiarity with agile development methodologies.
Contributions to open-source projects or technical communities.
About Honeywell
Honeywell International Inc. (NYSE: 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 here: https://www.honeywell.com/us/en
Benefits Of Working For Honeywell
In addition to a performance-driven salary, cutting-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: 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: 3/9/2026
Us Person Requirements
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
We are seeking a motivated Software Engineer II to support our machine learning operations (ML Ops), CI/CD infrastructure, cloud platform projects, and API management initiatives. The ideal candidate will help maintain Container Platform, CICD Platform, Multi Tech Stack CICD Template Development, MLOps, support cloud infrastructure (GCP & Azure), contribute to automation practices, and assist with platform operations. You will collaborate with engineers, data scientists, and product managers to deliver scalable solutions.
You will report directly to the Sr Software Engineering Manager and work out of our Atlanta, GA location on a hybrid work schedule. For the first 90 days, New Hires must be prepared to work 100% onsite M-F.
Responsibilities
Design and deploy API in Azure and GCP using multiple programming language
Manage production system and data pipeline in prod environment
On call support for any production issue for troubleshooting
Work with data engineering, API development team to deploy release on time
Automate things to improve developer experience
Manage deployment in Azure and GCP cloud
Partner with security team to remediate security issues in infrastructure.
Qualifications
YOU MUST HAVE
Bachelor's degree in Computer Science, Engineering, or related field.
2+ years of software engineering experience, with exposure to ML Ops, cloud platforms, or DevOps practices.
Strong proficiency in Python (required).
Working knowledge of CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, GitLab CI, etc.).
Experience with Docker containers and container orchestration.
Familiarity with Kubernetes for deploying and managing containerized applications.
Experience with API management (design, development, versioning, documentation).
Exposure to cloud platforms (GCP and/or Azure).
Understanding of ML Ops tools and frameworks (MLflow, Kubeflow, Vertex AI, Azure ML, etc.).
Experience with version control systems (Git) and collaborative development workflows.
Basic understanding of data pipelines, ETL processes, or data engineering concepts.
Good communication, problem-solving, and teamwork skills.
WE VALUE
Experience with AKS, EKS, GKE any one Kubernetes platform.
Experience with LLMs (OpenAI, Google Gemini, Azure OpenAI) or generative AI applications.
Familiarity with Databricks platform or data lake solutions (Azure Data Lake, GCP BigLake).
Knowledge of infrastructure as code (Terraform, ARM templates, Deployment Manager).
Experience with monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring).
Understanding of microservices architecture and RESTful API design principles.
Exposure to service mesh technologies (Istio, Linkerd) or API gateways (Kong, Apigee).
Experience with Python frameworks (FastAPI, Flask, Django) for API development.
Familiarity with agile development methodologies.
Contributions to open-source projects or technical communities.
About Honeywell
Honeywell International Inc. (NYSE: 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 here: https://www.honeywell.com/us/en
Benefits Of Working For Honeywell
In addition to a performance-driven salary, cutting-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: 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: 3/9/2026
Us Person Requirements
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.