JPMorganChase
Website:
jpmorganchase.com
Company:
https://www.linkedin.com/company/jpmorganchase
Seniority: Not Applicable
Industries: Financial Services
Job details:
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
- Designs, develop, test, and deploy scalable full-stack applications using .NET and React
- Builds and maintain RESTful APIs and backend services using C# and ASP.NET Core
- Develops responsive, user-friendly front-end interfaces using React, TypeScript, HTML, and CSS
- Implements cloud-native solutions on AWS (compute, storage, networking, monitoring, security)
- Automates infrastructure provisioning and environment management using Terraform. Troubleshoots and resolve production issues across application and cloud infrastructure layers
- Writes secure, clean, maintainable, and well-documented production code. Contributes to architecture, design reviews, and technical decision-making
- Collaborates with cross-functional teams (product, QA, DevOps, security) in agile sprints
- Supports CI/CD pipelines and improve release reliability, performance, and resiliency
- 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
- Hands-on experience in full-stack application development and system design
- Strong proficiency in C#, .NET, and ASP.NET Core
- Strong front-end experience with React (with TypeScript). Practical experience with AWS services and cloud deployment patterns
- Hands-on Terraform experience for Infrastructure as Code. Experience with relational and/or NoSQL databases and query optimization
- Strong debugging, testing, and performance tuning skills
- Understanding of SDLC, secure coding, and agile development practices
- Familiarity with CI/CD, application resiliency, and observability best practices
- 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
Preferred Qualifications, Capabilities, And Skills
- Experience with containerization and orchestration (Docker, Kubernetes, ECS/EKS)
- Knowledge of microservices and event-driven architecture
- Familiarity with automated testing frameworks and test strategy
- Experience with monitoring/logging tools (CloudWatch, ELK, Datadog, etc.). Exposure to enterprise-scale distributed systems
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