Research Honeywell before you apply
Check ratings, real-employee reviews, verified pay, and interview difficulty.
About the Role
We are looking for a hands-on Engineering Manager to lead the development of the Forge Operations Center (FOC) — Honeywell's Executive Insights and Decisions Platform. This is a player-coach role at the intersection of engineering excellence and platform vision, where you will build the technical foundation that transforms FOC from an insights platform into a prescriptive, autonomous operational intelligence system.
Responsibilities
What You'll Do
· Design and build scalable, high-availability, low-latency applications powering executive-grade operational intelligence
· Drive platform evolution toward prescriptive and autonomous decision intelligence capabilities
· Build production-grade integrations across distributed data sources enabling real-time analytics and recommendations
· Lead, coach, and mentor early-career engineers — setting the bar for code quality, testing, and architecture
· Establish and enforce engineering standards across the team (code reviews, CI/CD, design reviews)
· Partner with SRE and platform teams on reliability, observability, and operational readiness
· Translate complex product requirements into elegant, scalable technical solutions
· Communicate architecture decisions and trade-offs clearly to both technical and non-technical stakeholders
· Design systems with future AI and agentic automation capabilities in mind
Qualifications
What You'll Bring
· 10+ years of experience in software engineering, including hands-on engineering and team leadership
· Strong proficiency in Python with working knowledge of Django and Celery for building robust, async-capable backend systems
· Experience with modern frontends using React JS
· Solid foundation in cloud-native development (containerization, microservices, Kubernetes, CI/CD pipelines)
· Proven ability to architect high-availability, low-latency distributed systems
· Track record of mentoring and growing junior engineers
· Strong stakeholder management and communication skills across technical and business audiences
· Bachelor's or Master's degree in Computer Science or a related field
---
Nice to Have
· Experience with Agentic AI frameworks (LangChain, CrewAI, AutoGen, or similar)
· Familiarity with AI/ML systems integration and LLM-powered workflows
· Background in industrial, IoT, or SRE-adjacent domains