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The Avalanche Bridge is a new cross-chain transfer solution developed by Ava Labs using Intel SGX technology. The bridge currently allows Ethereum users to seamlessly move their ERC20s over to the Avalanche ecosystem to leverage the DApps and platforms available on Avalanche. Since launching at the end of July 2021, the Avalanche Bridge has secured more than $700M in transfer from Ethereum to Avalanche. Moving forward, the bridge plans to add support for additional networks and asset types.
WHAT YOU WILL DO
- Design, optimize, and implement novel cross-chain transfer and interoperability protocols
- Contribute to core technical projects of the Avalanche Bridge, from planning through release
- Work with our talented product, business, and engineering teams to communicate and align on upcoming features and releases
- Develop automated testing suites and tools
- Support our DevOps team with new releases and production monitoring (on-call rotation)
- Engage with our open source community
WHAT YOU WILL BRING
- BS in Computer Science or related discipline
- 5+ years of professional software development experience
- 1+ yrs of hands on blockchain, consensus protocols, distributed systems or applied cryptography (professional OR independent)
- Full Life Cycle Development
- Expert level C++
- Strong understanding of Distributed Systems (fee structures, transaction formats & consensus mechanisms)
- Experience with Cloud Deployments (Native Cloud AWS and/or Azure)
- Ansible is a plus
- FLCD Smart Contract experience is a plus
- Experience with HD (Hierarchical Deterministic) Wallets is a plus
- Cryptography is a plus
- Experience leading teams is a plus
#LI-BA1 #LI-Remote
What kind of jobs can I get with C++?
C++ is a popular programming language that is widely used in a variety of industries, including software development, web3, blockchain, gaming, finance, and engineering
Here are some jobs you could consider with a strong background in C++ programming:
- Software Developer: As a software developer, you will use C++ to create software applications, systems software, or even operating systems.
- Blockchain Developer: C++ is one of the most commonly used programming languages in blockchain development. As a blockchain developer, you will use C++ to build decentralized applications, smart contracts, and other blockchain-based solutions.
- Smart Contract Developer: Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into code. C++ can be used to write smart contracts for decentralized applications on blockchain platforms such as Ethereum.
- Cryptocurrency Developer: C++ is also used to build and maintain cryptocurrency projects. If you're interested in developing cryptocurrencies, wallets, or mining software, C++ can be a valuable language to know.
- Protocol Developer: Many blockchain protocols are written in C++, including Bitcoin and Litecoin. As a protocol developer, you may work on developing new protocols, improving existing ones, and optimizing them for performance and scalability.
- Game Developer: If you're interested in creating video games, C++ is one of the most commonly used languages in the gaming industry, particularly for high-performance games.
- Financial Engineer: In finance, C++ is used for quantitative analysis, algorithmic trading, and risk management. Financial engineers use C++ to develop complex financial models and software tools.
- Embedded Systems Developer: C++ is commonly used in embedded systems programming for developing applications for devices like microcontrollers, and other small devices.
- Robotics Engineer: C++ is a popular programming language for developing robotics software. If you are interested in robotics and automation, this could be a great career choice.
- Compiler Engineer: C++ compilers are used to translate code written in C++ into machine-readable format. As a compiler engineer, you would be responsible for developing, testing, and optimizing C++ compilers.
- Machine Learning Engineer: C++ is a popular language for developing high-performance machine learning algorithms and libraries. As a machine learning engineer, you would use C++ to develop custom algorithms, optimize existing ones, and implement them into production systems.