Software Eng Manager

Job description

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. 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 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