Director Software Engineering

Honeywell Connected Industrials (HCI) is a business segment of Honeywell International Inc., focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. HCI leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.

Key functions and offerings of Honeywell Connected Industrials: Industrial IoT Solutions, Data Analytics, Discrete and Process Manufacturing

KEY RESPONSABILITIES:

• Responsible for designing and implementing innovative SaaS, On-prem and Hybrid solutions that suit market needs.
• Enable growth of Honeywell’s ARR business through sound architecture and product design
• Manage a team to deliver solution in an agile manner around analytics, product integrations, product onboarding
• Engage with business leadership, customers, and marketing teams to define product needs for the next generation of SaaS and On-prem solutions.
• Partner with development teams to assure whole SDLC is executed along with customer adoption and commercial success.
• Create and own the technical roadmap to meet the business objectives of the data platform strategy.

Technical Implementation & Oversight:

• Design and implement software architectures: Design and develop scalable, reliable, and maintainable software systems.
• Ensure architectural compliance: Enforce architectural standards and best practices, ensuring compliance with security, performance, and other requirements.
• Troubleshoot and resolve technical issues: Investigate and resolve technical issues related to software architecture.
• Evaluate and select tools and technologies: Research and evaluate different tools and technologies to ensure they meet the needs of the organization.

#LI-HYBRID

YOU MUST HAVE:

• BS degree in Computer Science or Engineering
• Minimum of 15 years relevant industry experience (software) in Software development, system architecture and/or design, system consulting or Technical Sales
• Technical leadership experience in architecting SaaS applications on Azure, GCP or AWS, hybrid and On-prem applications
• Deep technical expertise in data platforms, machine learning along with experience in AI and implementing concepts like MLOPS/AutoML
• Excellent interpersonal / communication skills
• Developing and maintaining technical standards for architectural practices within the organization
• Monitor and evaluate new technologies and trends to identify opportunities for improvement and innovation
• Identifying and implementing process improvements to enhance efficiency and effectiveness.
• Proficient in frontend technologies such as React, Angular and backend technologies such as .Net, Java or Python with understanding of various databases.

WE VALUE:

• Masters preferred
• We value experience with generative AI and LLMs, agentic AI application architectures
• Domain experience in Industrial automation with experience is Asset reliability, SCADA, DCS and MES systems
• Familiarity with DevOps practices, including CI/CD, infrastructure as code, and automated testing.
• Understanding of performance optimization techniques, both for backend and frontend systems.