Software Eng Manager

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.

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

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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

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