JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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.
Job 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.
Required qualifications, capabilities, and skills
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
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
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
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in