Leads engineering strategy and global teams delivering Honeywell Forge enterprise SaaS for smart buildings, HVAC, energy, data centers, and utilities. Oversees cloud-native platforms, connectivity, Agentic AI, digital twins, MLOps, data infrastructure, cybersecurity, and DevOps. Partners with product, sales, customer success, and operations to drive adoption, retention, and revenue while mentoring engineering leaders and accelerating customer deployment and operational value.
You will play a pivotal role in advancing the Honeywell Forge platform, delivering frictionless building connectivity, Agentic AI-driven autonomous building capabilities, and innovative solutions across HVAC, Energy Management, Data Centres, and Utilities verticals.
Responsibilities
Key Responsibilities
- Define and execute engineering strategy aligned with business goals, product roadmaps, and ARR growth objectives.
- Lead development of enterprise SaaS platforms using .NET Core, C#, React JS, Python, Kubernetes, GKE, Redis, NATS, Neo4j, PostgreSQL, Time-Series Databases, and Data Lake technologies.
- Drive the evolution of the Honeywell Forge Connectivity Platform by simplifying and automating building onboarding, eliminating deployment friction, and accelerating customer time-to-value.
- Lead adoption of Agentic AI frameworks (LangGraph) and Digital Twin technologies (NVIDIA Omniverse) to enable autonomous building operations.
- Develop intelligent agents that automate monitoring, diagnostics, energy optimization, maintenance, and operational workflows.
- Drive commercial success through successful deployment of AI-powered solutions that improve customer adoption, retention, and expansion revenue.
- Build scalable MLOps, AI, and data platforms supporting next-generation smart building applications.
- Lead cloud-native architecture, platform engineering, DevOps, cybersecurity, and operational excellence initiatives.
- Partner with Product Management, Sales, Customer Success, and Operations to translate customer needs into market-leading solutions.
- Build, mentor, and develop high-performing engineering leaders and global engineering teams.
Domain Expertise
- Building Management Systems (BMS)
- Building Automation Systems (BAS)
- HVAC Controls and Optimization
- Energy Management Systems (EMS)
- Smart Buildings and Connected Infrastructure
- Data Center Infrastructure Management (DCIM)
- Utilities and Smart Grid Solutions
- Sustainability, Energy Efficiency, and Carbon Reduction
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, or related field.
- 12+ years of software engineering and product development experience.
- 6+ years of engineering leadership experience managing managers and large global teams.
- Proven experience leading cloud-native SaaS platforms and enterprise software products.
Honeywell Hadapsar, Maharashtra, IND Office
Hadapsar, India
Honeywell Pune, Mahārāshtra, IND Office
Pune, India
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads multiple aerospace datalink product development teams in Bangalore, overseeing avionics system and software design, program execution, budgets, quality, delivery, and customer support. Drives Agile transformation, cost and cycle-time reduction, digital engineering initiatives, innovation, common avionics products, strategic planning, talent development, and performance culture. Requires deep avionics expertise, aerospace software development experience, knowledge of DO-178B/C and ARP4754A, and substantial people and technical leadership.
Top Skills:
AgileAIArp4754AAutomationAvionicsDigital ThreadDigital TwinHoneywell Operating SystemLean Product DevelopmentModel-Based Systems Engineering (Mbse)Rtca Do-178B/C
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads software and systems engineering teams developing, integrating, validating, and certifying avionics, autonomous flight, UAM, and UAS solutions. Owns program delivery, technology roadmaps, engineering execution, quality, risk management, customer relationships, and compliance with aerospace standards. Builds and develops high-performing teams while advancing AI/ML, alternative navigation, MBSE, simulation, and next-generation flight deck capabilities.
Top Skills:
Ai/MlArp4754AArp4761Autonomous SystemsAvionics SoftwareDigital EngineeringDo-178CEmbedded SystemsModel-Based DevelopmentModel-Based Systems Engineering (Mbse)Real-Time SystemsRoboticsScadeSimulation
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads aerospace systems and software engineering teams developing, integrating, validating, and certifying avionics, autonomous flight, UAM, and UAS solutions. Owns technical strategy, program execution, customer commitments, engineering metrics, quality, risk management, process compliance, and cross-functional collaboration. Builds and develops high-performing engineering organizations while advancing AI/ML, alternative navigation, flight deck, simulation, and digital engineering capabilities.
Top Skills:
Ai/MlArp4754AArp4761Autonomous SystemsAvionics SoftwareDigital EngineeringDo-178CEmbedded SoftwareModel-Based Systems Engineering (Mbse)Real-Time SystemsRoboticsScadeSimulation
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

