Advanced Software Engineer – Forge AI & Platform

Honeywell

. Design and develop containerized microservices and distributed platform components .

Posted 10/16/2026full-timeAtlanta • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing containerized microservices and distributed systems, with a strong focus on API-driven architectures and cloud environments. Proficient in troubleshooting and optimizing software components for performance and security in regulated and restricted-connectivity settings.

Highest-signal resume keywords

Microservices ArchitectureContainerized ApplicationsKubernetes DeploymentEvent-Driven ServicesSecure Software Development Lifecycle

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Hard Skills

C# DevelopmentSQL DatabasesRabbitMQRESTful APIsAutomated TestingEvent-Processing SystemsTime-Series DatabasesFull-Stack DevelopmentAsynchronous ProcessingDistributed Systems

Soft Skills

Problem SolvingCollaborationTechnical CommunicationIndependent Design

Tools & Technologies

AzureGCPAlibaba CloudKubernetesRedisGitCognition Edge/Appliance Environments

Industry Keywords

Industrial IoTHybrid-Cloud PlatformsAir-Gapped EnvironmentsTelemetry SystemsDevice Management

Tech Stack

Tools & technologies

AzureCloudCyber SecurityGoogle Cloud PlatformIoTKubernetesMicroservicesPostgresRabbitMQRedisSQL.NET

About the role

Key responsibilities & impact

Design and develop containerized microservices and distributed platform components
Implement 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 service-to-service communication, error handling, retry, and integration patterns
Troubleshoot distributed services and dependencies
Develop software supporting Azure, GCP, Alibaba Cloud, and Cognition environments
Maintain separation between common platform functionality and provider-specific implementations
Apply abstraction and adapter patterns to minimize cloud-provider dependencies
Develop software for Cognition edge/appliance environments, including limited or restricted connectivity
Optimize platform components for CPU, memory, storage, and network utilization
Develop and support services deployed in Kubernetes environments
Contribute to installation, configuration, upgrade, and lifecycle management of platform services
Follow engineering and security requirements for regulated, restricted-connectivity, or air-gapped deployments
Own assigned features, services, and technical problems with limited supervision
Translate technical designs and requirements into working software
Participate in architecture and design discussions
Conduct code reviews and maintain engineering standards
Collaborate with technical leads, architects, Product Owners, SRE, cybersecurity, QA, and application teams
Identify technical risks, dependencies, maintainability concerns, and integration issues
Diagnose issues across applications, services, messaging, databases, Kubernetes, and infrastructure
Contribute to technical investigations and proof-of-concepts

Requirements

What you’ll need

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 with microservice, API-driven, and distributed-system architectures
Practical experience with containerized applications, automated testing, and CI/CD
Ability to independently design and deliver moderately complex software components and features
Experience troubleshooting applications and distributed services in development, integration, or production environments
U.S. Person requirement: U.S. citizen, U.S. permanent resident, protected status in the U.S. under asylum or refugee status, or ability to obtain an export authorization
Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline, or equivalent practical experience (valued)
Experience with Industrial IoT or connected-device platforms
Experience with edge computing or appliance-based software
Experience with hybrid-cloud or multi-cloud platforms
Experience with air-gapped or restricted-connectivity environments
Experience with large-scale telemetry or event-processing systems
Experience with Kubernetes-based edge deployments
Experience with time-series databases
Experience with device and gateway management
Experience with secure software-development lifecycle practices
Experience with modern full-stack application development
Experience with web application architecture and modern frontend engineering
Experience with RESTful APIs and backend service development
.NET and C# development
Microservices and distributed-system concepts
Event-driven architecture and asynchronous processing
RabbitMQ or comparable enterprise messaging technology
SQL and relational databases, particularly PostgreSQL or comparable platforms
Caching technologies such as Redis
Data-processing and persistence concepts
Authentication, authorization, and secure API design
Automated unit, API, component, and integration testing
Observability, structured logging, and production troubleshooting
Git-based development, branching, pull-request, and release workflows

Benefits

Comp & perks

Employer-subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
Employee Assistance Program (EAP)
Educational Assistance
Parental Leave
Paid Time Off for vacation, personal business, sick time, and parental leave
12 Paid Holidays
Leading-edge work and opportunities to develop solutions alongside dedicated experts