Senior Lead Software Engineer - Blockchain, Java, Micro Services
JPMorgan Chase · Jersey City, United States · 10d ago
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology, Core Blockchain Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Designs and implements microservices architectures using industry-standard technologies and frameworks.
- Designs blockchain solutions and decentralized applications on private and public blockchain networks, with proven and verified cryptographic protocols
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Monitors and optimize the performance of microservices, ensuring high availability and responsiveness.
- Troubleshoots and resolves technical issues, providing timely solutions to maintain application stability.
- Conducts code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement.
- Contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- 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.
- 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