Lead Software Engineer

• 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