Implements rigorous and thorough monitoring and testing practices to ensure the security and performance goals of blockchain infrastructure
Designs and verifies cryptographic protocols deployed on the blockchain. Design blockchain solutions, such that it can support benchmark use-cases of decentralized applications, with proven and verified cryptographic protocols
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
A degree in Computer Science / Mathematics or equivalent work experience in a field utilizing the same subject matter
Hands-on practical experience delivering system design, application development, testing, and operational stability for traditional distributed systems
Have practical experience developing on blockchain platforms, such as, Ethereum, Hyperledger, or similar
Strong object oriented programming language background. Hands-on experience with application programming, backend API development and distributed microservices infrastructure in one or more programming language(s): Solidity, Java, JavaScript, Python.
Experience and understanding of the cryptographic principles underpinning blockchain technologies such as encryption algorithms, key management, key wallets
Experience with cloud infrastructure services such as Amazon, Google, or Microsoft (AWS, Google Cloud, Azure)
Ability to tackle design and functionality problems independently with little to no oversight
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Preferred qualifications, capabilities, and skills
Experience in Financial Markets
Experience designing and writing smart contracts with Solidity using Hardhat, Truffle, Slither scanning etc
Hands-on experience with AWS, EKS, Docker
Knowledge of DevOps practices and tools for continuous integration and deployment.
Familiarity with blockchain interoperability solutions
Experience with RDBMS
