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Technical Lead

rushdigital · Auckland, Parnell, New Zealand

Software DevelopmentLeadExternal listingfull-time8 days ago

About The Role

At RUSH , we are an integrated design and technology studio. We are united by our love of technology and its potential for making lives better. We are looking for a Lead Full Stack Engineer who is a hands-on technical expert, a mentor to others, and a deep-diver into thorny technical challenges.

About the Role

We’re looking for a Lead Engineer to take technical ownership of the platform at the core of RUSH’s computer vision technology. You’ll design, build, and evolve scalable edge and cloud systems that power AI-driven insights for real-world environments.

What You’ll Do

  • Lead the design and development of architecture, ensuring performance, scalability, security and cost-management.
  • Drive technical decisions that further business objectives and goals.
  • Work with partners and customers to develop technical solutions for hard problems.
  • Support the engineering team to work with good flow, handling escalations as required, and ensuring the team is working well.
  • Stay hands-on, contributing code, improving performance, architecting solutions and refining our technical approach as we grow.

What You’ll Bring

  • Strong experience as a senior or lead engineer working on complex, distributed or edge systems.
  • Knowledge of modern cloud platforms such as GCP, containers, and effective CI/CD pipelines.
  • Understanding of computer vision or machine learning, APIs, data-processing, and integrations.
  • Experience with Python and C++ or similar languages used for edge and cloud.
  • Proactive and clear communication, with the ability of explaining the consequences of technical decisions or trade-offs.
  • A proactive, problem-solving mindset to continually improve on the status quo, while comfortable making trade-offs between long-term architectures and delivery realities.

Tech Stack

  • Python
  • C/C++/Rust (non-Garbage Collected) or embedded or edge IOT experience
  • Cloud architecture, & containers
  • Machine Learning/Computer Vision experience
  • CI/CD pipelines

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