Remote Backend Engineer: Low-Latency Web3 Engine in Wakefield

Remote Backend Engineer: Low-Latency Web3 Engine in Wakefield

Wakefield Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
pod network

At a Glance

  • Tasks: Design and optimise latency-sensitive components for innovative Web3 engines.
  • Company: Join Pod Network, a pioneering Web3 startup in the UK.
  • Benefits: Enjoy remote work flexibility and competitive compensation.
  • Other info: Collaborate with researchers in a dynamic and innovative environment.
  • Why this job: Be at the forefront of Web3 technology and make a real impact.
  • Qualifications: Expertise in Rust/C++, Go, and strong networking skills required.

The predicted salary is between 60000 - 80000 Β£ per year.

Pod Network, a cutting-edge Web3 startup in the United Kingdom, seeks a highly skilled systems programmer to design latency-sensitive components for L1 and order book engines. You will optimize network pipelines and implement protocol primitives for timestamped execution, while collaborating with researchers on cross-domain settlement models.

Ideal candidates have deep experience in Rust/C++, Go and a strong background in concurrency, networking, and performance profiling.

Remote Backend Engineer: Low-Latency Web3 Engine in Wakefield employer: pod network

At Pod, we pride ourselves on being an exceptional employer, offering a unique opportunity for Remote Backend Engineers to work alongside industry leaders in blockchain technology. Our collaborative environment fosters innovation and personal growth, allowing you to make a significant impact while enjoying the flexibility of remote work. With a commitment to equity and a culture that values your contributions, you'll be part of a pioneering team dedicated to shaping the future of decentralized applications.

pod network

Contact Details:

pod network Recruitment Team

We think you need these skills to ace Remote Backend Engineer: Low-Latency Web3 Engine in Wakefield

Rust
C++
Go
Systems Programming
Concurrency
Networking
Performance Profiling