Sr Automation Engineer

Honeywell Aerospace•Minneapolis, MN

13h

About The Position

In this role, you will impact the success of Honeywell’s automation & digital initiatives by driving the development and deployment of digital automation technologies that improve system performance and reliability. 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.

Requirements

Experience with full stack application development.
Experience integrating Operational Technology (OT) and IT systems.
Experience building industrial data pipelines.
Experience developing user interfaces for shop floor and operations.
Experience with industrial protocols and connectivity (OPC UA, MQTT, Modbus, REST APIs).
Experience supporting manufacturing digital ecosystems (MES, IIoT platforms, digital twins).
Experience implementing scalable backend services (APIs, microservices).
Experience enabling advanced analytics and insights.
Knowledge of OT and IT cybersecurity best practices.
Experience collaborating with cross-functional teams.
Experience deploying and maintaining cloud & edge solutions (Azure IoT, AWS IoT Greengrass).
Experience supporting continuous improvement initiatives.
Experience participating in Agile development processes (sprint planning, code reviews, testing, CI/CD).

Responsibilities

Develop End-to-End Manufacturing Applications: Design, build, and maintain full stack applications that support manufacturing operations, including shop floor systems, dashboards, and digital workflows.
Integrate OT and IT Systems: Develop secure and scalable integrations between Operational Technology (OT) systems (PLCs, SCADA, MES, CMMS) and enterprise IT systems (ERP, cloud platforms, data lakes).
Build Industrial Data Pipelines: Create and manage real-time and batch data pipelines to ingest, normalize, and store machine and process data for analytics and decision-making.
Develop User Interfaces for Shop Floor and Operations: Build responsive front-end applications (web/mobile) for operators, engineers, and plant leadership to monitor performance, quality, and equipment status.
Work with Industrial Protocols and Connectivity: Implement and maintain connectivity using protocols such as OPC UA, MQTT, Modbus, REST APIs, and other industrial communication standards.
Support Manufacturing Digital Ecosystem: Contribute to the development of a connected manufacturing ecosystem including MES, IIoT platforms, digital twins, and smart factory initiatives.
Implement Scalable Backend Services: Design and develop APIs, microservices, and backend systems to support data processing, business logic, and system interoperability.
Enable Advanced Analytics and Insights: Partner with data engineers and data scientists to enable predictive maintenance, quality analytics, and performance optimization solutions.
Ensure Cybersecurity and System Reliability: Follow OT and IT cybersecurity best practices to secure manufacturing systems, ensure data integrity, and maintain high system availability.
Collaborate with Cross-Functional Teams: Work closely with manufacturing engineers, controls engineers, IT, and operations teams to translate business needs into digital solutions.
Deploy and Maintain Cloud & Edge Solutions: Support deployment of applications in cloud and edge environments (e.g., Azure IoT, AWS IoT Greengrass) for distributed manufacturing environments.
Support Continuous Improvement Initiatives: Identify opportunities to improve efficiency, reduce downtime, and enhance product quality through digital solutions.
Participate in Agile Development Processes: Contribute to sprint planning, code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines.