Senior Software Engineer I/II - BE (Smart Building Platform)

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Requirements:

• 10-15+ years of hands-on software development experience.
• Proven ability to lead projects independently with minimal supervision.
• Experience with BMS ecosystem through communication protocols such as BACnet, Modbus, LonWorks, M-Bus and MQTT
• Understand overall functionality of the HVAC systems (Central Plant, AHU, Unitary controls, etc.)
• Strong understanding of object-oriented design (OO), algorithms, and data structures.
• Experience with IoT and data-intensive applications.
• Deep knowledge of Linux systems.
• Hands-on expertise with Containers (Docker/Kubernetes), CI/CD, and feature flagging.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Agile methodologies and rapid iterative development.
• Technical expertise with Tridium Niagara platform will be added advantage.

Responsibilities:

• Oversee software development projects, ensuring alignment with product roadmaps and company objectives.
• Drive engineering strategy, architecture, and execution to scale backend systems efficiently.
• Guide and mentor a large engineering team, fostering alignment, innovation, and a "getting things done" attitude.
• Lead technology decisions in IoT devices, microservices, event-driven architectures, and big data solutions.
• Host architecture discussions and design reviews to ensure best practices and scalability.
• Maintain high code quality, scalability, maintainability, and readability.
• Design, develop, test, and maintain robust, high-performance software in C#, .NET Core, JavaScript, C/C++, Docker, and Git.
• Deliver RESTful APIs and microservices with best-in-class design and performance.
• Implement detailed test plans and automated testing to ensure product reliability.
• Integrate IoT devices with Building Management Systems (BMS) / HVAC Controls using BACnet/Modbus protocols.
• Lead SCRUM teams, driving sprint planning, effort estimation, and execution.
• Oversee team progress and sprint execution, ensuring timely delivery of features and technical debt resolution.
• Implement data-driven metrics and assessments for engineering and operational excellence.
• Promote a culture of continuous learning and technical excellence through coaching and mentorship.
• Drive R&D initiatives, integrating AI/ML into products and the software development lifecycle (SDLC) for enhanced efficiency.
• Foster cross-functional collaboration with product managers, designers, and business stakeholders to translate ideas into scalable solutions.
• Leadership & Mentorship – Guide, mentor, and develop engineers at all levels, fostering a culture of continuous learning, innovation, and accountability.
• Operational Excellence – Implement Agile best practices, set clear goals, and drive a data-driven approach to optimize team performance and execution.
• Cross-Functional Collaboration – Partner with Product, Design, and Business stakeholders to align engineering efforts with company objectives and ensure seamless coordination.