Head engineer

We are looking for a Head of Engineering to own end\-to\-end technology execution across IoT, cloud, data, ML systems, and applications, and build an engineering organization that ships reliably in real\-world environments. You will lead the engineering of a mission\-critical platform for water and wastewater operations, ensuring reliable, automated operations across industrial and commercial sites.

Key Responsibilities

• Hands\-on architectural ownership of critical systems and technical decisions.
  




• Technical execution and platform architecture across IoT, cloud, data platforms, ML systems, and applications.
  




• Design resilient, edge\-aware systems that operate under imperfect network and field conditions.
  




• Define engineering standards for reliability, security, scalability, and testability.
  




• Build, mentor, and scale a high\-performing engineering team.
  




• Collaborate closely with Product and Operations to translate domain knowledge into software systems.
  




• Build robust device\-to\-cloud and edge\-enabled systems for industrial deployments.
  




• Develop scalable backend services and operator\-facing applications that turn data into actionable outcomes.
  




• Create data and ML pipelines for monitoring, diagnostics, and optimization.
  




• Implement automated testing frameworks across devices, data, and applications.
  




• Foster a culture of ownership, operational excellence, and clear decision\-making.
  

Key Skills & Qualifications

• 10+ years building and scaling complex systems (IoT, distributed systems, industrial software, or large\-scale data platforms).
  




• Strong cloud architecture experience (AWS, Azure, or GCP).
  




• Working understanding of IoT, edge computing, and automated equipment control systems.
  




• Experience deploying ML systems in production that drive operational or business outcomes.
  




• Proven leadership of engineering teams in startups or fast\-growing companies.
  




• Ability to communicate clearly with technical and non\-technical stakeholders.
  




• Hands\-on experience designing reliable systems under real\-world constraints (imperfect data, unreliable connectivity, operational variability).
  




• Demonstrated ability to translate domain knowledge into operational software.
  




• Comfort using AI tools to accelerate development, testing, and internal workflows.
  
  Apply by sending your CV to [email protected]