
Advanced Software Engineer
Required skills
- edge computing
- Google Distributed Cloud
- GDC
- Kubernetes
- Azure
- GCP
- Alibaba
- Ansible
- Python
- IoT
Nice to have
- architecture reviews
- distributed systems
- resource-constrained environments
- disconnected environments
- intermittently-connected environments
- scalability
Role summary
Honeywell is seeking an Advanced Software Engineer for a hybrid role in Atlanta, GA. This hands-on position involves driving the technical direction for edge computing solutions, including architecture design, development, and operationalization on platforms like Google Distributed Cloud and Kubernetes. You will leverage Python and Ansible for core services, automation, and IoT connectivity. The role also includes leading cloud/hybrid architecture, enhancing developer enablement platforms, participating in architecture reviews, and mentoring engineers. This position offers the opportunity to impact critical software initiatives and contribute to Honeywell's strategic goals in automation and autonomy.
As an Advanced Software Engineer here at Honeywell, you will advance the technical direction for edge computing solutions and will also support architecture reviews across other applications in the portfolio. This is a hands-on development role — deep technical ownership combined with cross-team influence..
You will report directly to our Sr Director Software Engineering and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.
In this role, you will impact critical software initiatives and contribute to the technical excellence and success of projects that support Honeywell's strategic goals.
At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture
KEY RESPONSIBILITIES
- Serve as a senior developer driving the design and delivery of the Forge Cognition edge computing initiative.
- Define and own edge architecture patterns for distributed, resource-constrained, and disconnected/intermittently-connected environments.
- Architect and operationalize workloads on Google Distributed Cloud (GDC) (edge and/or hosted, depending on program needs)
- Design, build, and scale Kubernetes-based deployments for edge and cloud (Azure, GCP, Alibaba) .
- Lead cloud & hybrid architecture for scalability & resilience.
- Build and maintain Ansible-based automation for provisioning, configuration management, and fleet operations across distributed edge nodes.
- Develop core services, tooling, and integrations in Python.
- Architect solutions for IoT device connectivity, telemetry ingestion, data pipelines, and device lifecycle management.
- Enhance the Platform Engineering and developer enablement platform by creating reusable templates, self-service workflows, deployment guardrails, documentation, and automation that improve engineering velocity and consistency.
- Participate in and lead architecture review boards for other applications across the org, providing technical guidance and best-practice recommendations.
- Partner with product, platform, and infra teams to ensure edge solutions are secure, observable, and production-ready.
Mentor engineers and help raise the technical bar across teams.
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
Sample Honeywell interview questions
- 1
Design a Distributed Caching System like Redis.
system designmedium - 2
Design a system to recognize faces in real-time using machine learning.
system designmedium - 3
Design a Live Comments Feature.
system designmedium - 4
Design a system for managing a distributed message broker.
system designmedium - 5
Design a system for instant weather data processing and analysis.
system designmedium
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