DescriptionWe 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 helpmaintainContainer Platform CICD Platform Multi Tech Stack CICD TemplateDevelopmentMLOps support cloud infrastructure (GCP & Azure) contribute to automation practices andassistwith platform operations. You will collaborate with engineers data scientists and product managers to deliver scalablesolutions.
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.
KEY 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.
QualificationsYOU MUST HAVE
- Bachelors degree in Computer Science Engineering or related field.
- 2 years of software engineering experience with exposure to ML Ops cloud platforms or DevOps practices.
- Strongproficiencyin Python (required).
- Working knowledge ofCI/CD pipelines(GitHub Actions Azure DevOps Jenkins GitLab CI etc.).
- Experience withDocker containersand container orchestration.
- Familiarity withKubernetesfor deploying and managing containerized applications.
- Experience withAPI management(design development versioning documentation).
- Exposure tocloud 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 EKSGKEany 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 GCPBigLake).
- Knowledge of infrastructure as code (Terraform ARM templates Deployment Manager).
- Experience with monitoring and observability tools (Prometheus Grafana Cloud Monitoring).
- Understanding of microservicesarchitecture and RESTful API design principles.
- Exposure to service mesh technologies (IstioLinkerd) 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 worlds 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: 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: 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
Required Experience:
IC
DescriptionWe 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 helpmaintainContainer Platform CICD Platform Multi Tech Stack CICD TemplateDevelopmentM...
DescriptionWe 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 helpmaintainContainer Platform CICD Platform Multi Tech Stack CICD TemplateDevelopmentMLOps support cloud infrastructure (GCP & Azure) contribute to automation practices andassistwith platform operations. You will collaborate with engineers data scientists and product managers to deliver scalablesolutions.
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.
KEY 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.
QualificationsYOU MUST HAVE
- Bachelors degree in Computer Science Engineering or related field.
- 2 years of software engineering experience with exposure to ML Ops cloud platforms or DevOps practices.
- Strongproficiencyin Python (required).
- Working knowledge ofCI/CD pipelines(GitHub Actions Azure DevOps Jenkins GitLab CI etc.).
- Experience withDocker containersand container orchestration.
- Familiarity withKubernetesfor deploying and managing containerized applications.
- Experience withAPI management(design development versioning documentation).
- Exposure tocloud 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 EKSGKEany 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 GCPBigLake).
- Knowledge of infrastructure as code (Terraform ARM templates Deployment Manager).
- Experience with monitoring and observability tools (Prometheus Grafana Cloud Monitoring).
- Understanding of microservicesarchitecture and RESTful API design principles.
- Exposure to service mesh technologies (IstioLinkerd) 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 worlds 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: 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: 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
Required Experience:
IC
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