Senior Software Engineer - AI Platform & Microservices

Honeywell International Inc.

Atlanta (GA)

Hybrid

USD 130,000 - 170,000

Full time

4 hours ago

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Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) match

Paid Time Off and Holidays

Job summary

Honeywell International Inc. is seeking an Advanced Software Engineer to build enterprise-scale platform services for Honeywell Forge and Cognition.

You will contribute across APIs, microservices, data and messaging infrastructure, and containerized deployments, owning features end-to-end from design to production readiness. The role reports to the Sr Software Engineering Manager and is based in Atlanta, GA on a hybrid schedule.

Qualifications

5+ years of professional software-development experience, with substantial hands-on development responsibility.
Strong experience building production-quality backend, full-stack, or platform software.
Experience developing services using microservice, API-driven, and distributed-system architectures.
Practical experience with containerized applications, automated testing, and CI/CD.

Responsibilities

Design and develop containerized microservices and distributed platform components.
Implement well-defined service interfaces, APIs, contracts, and reusable abstractions.
Develop event-driven services using RabbitMQ or similar messaging technologies and asynchronous processing patterns.
Build services interacting with relational databases, time-series data stores, caching technologies, and file/object storage.
Implement reliable service-to-service communication, error handling, retry, and integration patterns.
Troubleshoot issues across distributed services and their dependencies.
Develop software that can support deployment across Azure, GCP, Alibaba Cloud, and Cognition environments.
Contribute to a common platform codebase while maintaining appropriate separation between common functionality and provider-specific implementations.
Apply abstraction and adapter patterns where needed to minimize unnecessary cloud-provider dependencies.
Develop software capable of operating in Cognition edge/appliance environments, including deployments with limited or restricted connectivity.
Build platform components with appropriate consideration for CPU, memory, storage, and network utilization.
Develop and support services deployed in Kubernetes-based environments.
Contribute to installation, configuration, upgrade, and lifecycle-management capabilities for platform services.
Follow engineering and security requirements associated with regulated, restricted-connectivity, or air-gapped deployments.