Core Developer
Remote
Job Description
We are looking for passionate developers who like to solve complex engineering problems and work in talented teams to push the boundaries of computer science. The ideal candidate has a deep understanding of distributed systems, with an in-depth understanding of smart contracts, cryptography, crypto-economics and directed-acyclic-graphs.
Responsibilities
- Researching and implementing methods to improve upon security and efficiency to the ledger.
- Keep up to date on research on distributed ledger technology and distributed systems and assess the relevance to the network.
- Aid in the development of smart contract functionality and create/test robust decentralized applications.
- Creating documentation required for software libraries.
- Willingness to travel as necessary.
- Develop software and research for a cutting edge technology and Open Source project.
- Willingness to travel as necessary.
- Design and develop reusable and reliable code using at least one of the following: Python / GO / C++ / Rust.
- Partake in all aspects of the project’s lifecycle.
- Research and solve complex engineering challenges.
Requirements
- Bachelor’s Degree (Computer Science) from a top tier internationally recognized institution.
- Comfortable programming with Golang.
- Prior experience working with building and designing networking protocols on a minimum of two of the specified distributed systems topologies (peer to peer, client-server, mesh network).
- Prior experience working with systems containing Byzantine/potentially malicious clients (games, financial applications, etc ).
- Intermediate level understanding of probabilistic/discrete data structures to engineer and work with embedded databases (RocksDB, LevelDB, etc ).
- Intermediate level understanding of cryptography/discrete mathematics (pre-image resistance, hash collisions, Diffie-Hellman key exchange, RSA, cyclic finite groups, discrete logarithm dilemma, etc ).
- Code portfolio and interview required.
- Experienced with algorithms, and data structures time/space complexity analysis.
