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About the role
We are looking for a hands-on Engineering Manager to lead the development of the Forge Operations Center (FOC) Honeywells 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 Youll 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 Bachelors or Masters 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 What Youll 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 Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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