Auki Labs is a venture-funded spatial computing startup that’s building the fundamental building blocks of the future AR metaverse, and a new positioning protocol to help every device and person find their place in the world. Literally.

The multi-disciplinary engineering team at Auki Labs is building a platform that enables the world’s first truly social AR experiences, with instant calibration and multipeer positioning. We believe this AR interoperability layer is a crucial building block of the spatial canvas of the future metaverse.

If you think you’ve got what it takes to put your finger on the scale and help shape the future of the metaverse, contact us today. We are crafting a new reality, and we want to work with craftspeople like you.

Responsibilities:

• Plan, design and develop the Auki Labs backend services.
• Assist with road-map planning related to the development of Auki SDK, backend services and other Auki Labs products.
• Work on performance optimizations.
• Collaborate with other Auki Labs teams on DevOps, Site Reliability Engineering, Testing and implementation of end-to-end solutions.
• Stay up to date with the industry and provide suggestions, advice and road-maps accordingly.

Qualifications:

• At least 5 years experience as Lead Backend Engineer or Senior Backend Engineer in a results-oriented and strong engineering team.
• Golang. Our backend, both REST and Realtime networking server are all written in Golang so this is a requirement.
• Strong software architecture skills and knowledge of software design patterns like MVC, MVCS, SOLID. You’re able to think ahead and create modular and decoupled designs that make it easier to collaborate, iterate and grow.
• Experience building services serving tens of thousands to millions of concurrent users.
• Experience building asynchronous real-time services using TCP/UDP/Websockets (Think chat or gaming) is a big plus.

To apply for this position, please send your CV to agnes@aukilabs.com.

We are an equal opportunity employer and welcome applications from all qualified candidates. Information provided will be treated in strict confidence and will only be used for recruitment-related purposes. Information of unsuccessful candidates will be destroyed within six months.