Lead Software Engineer- Data, Python, SQL

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Job Summary:
As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk team 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.

Job 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.

• 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.

• 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.

Required qualifications capabilities and skills:

• Formal training or certification on hybrid cloud architecture concepts and 5 years 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 capabilities and skills:

• Action-oriented decisive 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.