Lead Software Engineer - Java, Blockchain
About The Position
Push the limits of what’s possible with us as an experienced member of our Software Engineering team. As a Lead Software Engineer at JPMorganChase within the Global Technology team, you serve as a member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, driving innovation in payment platforms to deliver seamless, secure, and scalable solutions for merchants and clients, or supporting the integration of our private and public cloud platforms. You may also be involved in developing and integrating blockchain solutions, including experience with public chains such as Ethereum, and leveraging AWS cloud services to build scalable, secure applications.
Requirements
- Formal training or certification on software engineering concepts and 5+ years of applied experience in coding in Java or Python languages
- Hands-on practical experience in system design, application development, testing and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience with blockchain technologies, including public chains such as Ethereum
- Experience with AWS cloud services
- Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
Nice To Haves
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience developing smart contracts and decentralized applications
- Experience with advanced CI/CD pipeline design and optimization
- Experience with Terraform scripting and infrastructure as code best practices
Responsibilities
- Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
- Executes software solutions, design, development, and technical troubleshooting
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Designs and implements blockchain-based solutions, including smart contracts and decentralized applications on public chains such as Ethereum
- Utilizes AWS cloud services to architect, deploy, and manage scalable applications
- 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.
Benefits
- competitive total rewards package
- base salary determined based on the role, experience, skill set and location
- commission-based pay
- discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
- comprehensive health care coverage
- on-site health and wellness centers
- retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
