Senior Lead Software Engineer - Blockchain, Java, Micro Services

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 develo...