Lead Software Engineer- Data, Python, SQL

About the role

As the Lead Software Engineer within the Wholesale Credit Risk team at JPMorgan Chase, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions. You will collaborate with development leads and senior stakeholders to deliver robust solutions while mentoring team members and fostering a collaborative environment. This opportunity allows you to leverage your technical expertise in hybrid cloud architecture and coding to promote technical excellence and innovation.

Responsibilities

• Architect, design, and implement scalable hybrid cloud solutions for transactional, analytics, and RAD workloads.
• Write and review high-quality code, ensuring adherence to best practices and standards.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support).
• Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns across the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value.
• Collaborate with development leads and cross-functional teams to deliver robust solutions.
• Conduct code reviews and provide constructive feedback to drive technical excellence.
• Present technical concepts and project updates to senior stakeholders.
• Prioritize tasks effectively, balancing urgent needs with strategic progress.
• Mentor and support team members, fostering a collaborative and helpful environment.

Requirements

• Formal training or certification on hybrid cloud architecture concepts and 5+ years of applied experience.
• Proven experience in hybrid cloud architecture (AWS, Azure, GCP, or private cloud).
• 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.
• Deep understanding of distributed systems, data pipelines, and analytics platforms.
• Experience with CI/CD, DevOps, and modern software engineering practices.
• Excellent interpersonal and presentation skills.
• Demonstrated ability to work with development leads and senior stakeholders.

Preferred Qualifications

• Action-oriented, decisive, and drives results systematically.
• Strong coding skills in languages such as Java, Python, React, or similar.
• Skilled at assessing risk and making decisions with a holistic, big-picture perspective.
• Demonstrates a can-do attitude and leads by example.
• Detail-oriented, able to distinguish between important and urgent tasks.
• Prioritizes helpfulness, mentorship, and team development.
• Acts with integrity.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Pay

Base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.