招聘

Lead Software Engineer - Blockchain (Public or Permissioned blockchain platforms)
Jersey City, NJ, United States, US
·
On-site
·
Full-time
·
1w 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 Lead Software Engineer at JPMorgan Chase, within Commercial and Investment Banking team, you will play a key role in an agile team dedicated to building, enhancing, and delivering trusted, market-leading technology products. You will leverage your deep technical expertise and problem-solving skills to address complex challenges across multiple technologies and applications, driving significant business impact through your contributions.
Roles and Responsibilities
- Provide technical leadership for a global team building blockchain/DLT applications and services
- Design and develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, Python.
- Set and uphold engineering standards for code quality, testing, observability, reliability, and performance
- Own end-to-end delivery: requirements, architecture, implementation, CI/CD, deployment, and production support
- Partner with platform teams to advance developer experience, toolchains, and cloud-hosted blockchain services
- Collaborate closely with Front Office, Product, Operations, and Core Blockchain teams to imagine, experiment, and execute on transformative DLT use cases
- Engage with industry groups and regulators as adoption grows; contribute to shaping the evolving industry and regulatory landscape
- Coach and mentor engineers; grow the team’s technical output, quality, and repeatability
- Advocate for DLT across the firm and externally. Represent the team to senior leaders in CIB Markets.
- Input into the wider technology innovation agenda including Generative AI, Agents and Quantum
Required qualifications
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Significant hands-on software engineering experience, including Java Spring Boot and enterprise-grade systems
- Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton)
- Understanding of cryptographic protocols, smart contracts and key management
- Proficiency with enterprise development toolchains: Git, Jenkins, CI/CD pipelines, automated testing
- Solid understanding of architecture and design across distributed, enterprise systems
- Proven track record delivering complex software projects into production
- Excellent collaboration, facilitation, and communication skills; ability to work with diverse stakeholder groups
- Demonstrated coaching and mentoring capability; ability to elevate team engineering practices
Preferred qualifications
- Experience with AWS services and cloud-native architectures
- Exposure to front office or trade-processing environments within financial services
- Experience with Python and broader web technologies
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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