Tech Lead - Predictive Maintenance Solutions

About the Role:

We are building a next-generation Industrial Reliability Intelligence platform that combines Industrial IoT, Edge Intelligence, AI/ML, advanced analytics, and asset monitoring technologies to transform how enterprises manage the health, performance, and reliability of critical industrial assets. By converting real-time operational data into actionable intelligence, the platform enables predictive maintenance, operational optimization, energy efficiency, and improved asset performance across industrial environments.

We are seeking a Tech Leader to own the end-to-end technology vision for the platform. The leader will drive architecture and execution across Industrial IoT, Edge Computing, AI/ML, Cloud Platforms, Data Engineering, Enterprise Applications, and Reliability Analytics, while working closely with product, customers, and technology partners to scale the platform and business.

Key Responsibilities:

Technology Leadership:

- Define and drive the end-to-end platform architecture spanning: Industrial IoT and Edge Computing, Asset Monitoring and Reliability Analytics, AI/ML, Generative AI, and Predictive Intelligence, Data Platforms and Real-Time Analytics, Cloud-native Applications and Enterprise Integrations.

- Own architectural decisions around scalability, security, performance, interoperability, and future product direction.

Product & Roadmap Ownership:

- Own the technical roadmap and work closely with business, product, customers, and partners to translate business needs into scalable platform capabilities.

- Drive innovation across Industrial AI, Smart Manufacturing, Reliability Intelligence, Energy Analytics, and Connected Operations.

Engineering Execution:

- Lead engineering teams from concept to deployment.

- Establish best practices for architecture, software engineering, AI/ML development, edge deployment, data engineering, and DevOps.

- Build and mentor high-performing engineering teams while driving product quality, innovation, and execution excellence.

Qualifications/Skills:

- Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, Industrial Engineering, or related disciplines.

- 10 to 12 years of experience in Industrial IoT, Smart Manufacturing, Industrial AI, Digital Transformation, Enterprise Platforms, Asset Performance Management, or Reliability Engineering.

- Strong experience in enterprise-scale architecture and cloud platforms (AWS, Azure, or GCP).

- Experience with AI/ML, Generative AI, Predictive Analytics, Data Engineering, and Real-time Processing platforms.

- Knowledge of Industrial IoT technologies including MQTT, SCADA, PLC integration, Edge Computing, and Digital Twins.

- Hands-on experience building and scaling industrial technology products and platforms.

- Experience leading engineering teams and delivering enterprise deployments across multiple industrial environments.

Skills

Edge Computing, Cloud, IIOT, IoT