JPMorgan Chase—Lead Software Engineer

Job description

Description: We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking (CCB), you are an integral part of an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives. Job Responsibilities - Design, develop, and troubleshoot software solutions, applying creative approaches to solve complex technical problems. - Deliver end-to-end cloud-native, microservices-based backend applications using Python and modern engineering practices. - Apply domain modeling techniques to build high-quality business products with an emphasis on clarity, testability, and maintainability. - Write secure, high-quality production code in Python; review, debug, and improve code written by others. - Design and build scalable, resilient architectures that avoid single points of failure and support zero-downtime releases. - Improve operational stability by identifying and automating remediation for recurring issues; ensure issues are investigated and resolved with durable fixes. - Contribute to continuous modernization by evolving technologies, patterns, and engineering standards. - Lead and contribute to communities of practice, promoting adoption of new and leading-edge technologies. - Foster an inclusive team culture that values diversity, opportunity, inclusion, and respect. - Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. - 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 in software engineering concepts with 5+ years of hands-on experience across system design, development, testing, and production support. - Strong proficiency in Python building backend services and microservices using frameworks such as Flask, Django, or FastAPI. - Ability to independently solve design and functionality challenges with minimal supervision. - Strong RESTful API design and maintenance skills, including versioning, backward compatibility, schema contracts, and documentation. - Experience designing scalable, resilient distributed systems using patterns such as Circuit Breaker, Bulkhead, Retry/Timeout, CQRS, Event-Driven Architecture, Saga/Process Orchestration, and Idempotency. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and web technologies (REST, WebSockets, JSON). - Hands-on experience designing/building scalable data solutions using SQL and NoSQL databases. - Experience with IaC (Terraform/CloudFormation/Pulumi) and modern delivery practices including Agile (Scrum), SDLC, CI/CD, automation, application resiliency, and security. - 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 - soft skills including presentation, negotiation, mentoring, and stakeholder management. - Strong problem-solving, analytical, and communication skills; ability to scale impact by sharing best practices. - Experience in the banking/financial services domain and AWS experience