【AIoT Startup】Data Architect

An AIoT SaaS company is looking for a Data Architect. This role will involve working on an AIoT infrastructure handling billions of power sequence data daily, with features including data flow, condensation integration, storage analysis, and event detection.

You'll collaborate with SRE and Fullstack teams to understand business needs and engineering goals, optimising the data flow infrastructure into a shared platform that supports various energy AIoT products.

Key responsibilities:

• Design, develop, and maintain a shared data flow infrastructure service.
• Develop cloud Linux/Docker/K8s data flow system clusters (GCP/AWS/Azure).
• Evaluate, develop, introduce, tune, and optimise large-scale NoSQL databases.
• Plan and execute architecture transition plans for basic data flow structure optimisation.
• Analyse performance bottlenecks and information security.
• Write high-performance data processing programs in Python or Golang or Rust.

Candidate profile:

• Experience as Software Architect or Infra/Platform/Data Tech Lead.
• Experience developing cloud Linux/Docker/K8s data flow system clusters (GCP/AWS/Azure).
• Experience with large-scale NoSQL databases (Elasticsearch/InfluxDB).
• Knowledge of ELT Data Pipeline related open-source software.
• Proficiency in Python or Golang or Rust.
• Experience with TDD/BDD development patterns and automated testing processes.

About the company:

Our client has established a strong position in the Taiwanese solar energy AIoT market, and is rapidly growing both domestically and internationally. They continue to innovate within the energy industry, developing new product lines. With daily data collection and management exceeding 100 TB, preparing for the next tenfold increase in volume is a challenging but exciting task. The company fosters an open culture of rational discussion, where team members are passionate about their technical abilities and committed to mutual growth.

Keywords: AIoT, Data Tech Lead, Cloud Architecture, Microservices, Python, Golang, Rust

What's next:

Ready to take on the challenge? Apply now!

Apply today by clicking on the link provided!