Jobs · Engineering · New York

Full Stack Lead Software Engineer- Python

JPMorganChase · New York, NY · 1 wk ago
On-siteEngineeringFull-time

About the role

As a Lead Software Engineer at JPMorganChase within the Data Management, Data Tech team, 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 will conduct critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Lead with an AI-driven approach in daily tasks.
  • Spearhead the design and development of real-time, mission-critical applications using Python.
  • Tackle large-scale engineering challenges with technologies like the Python Stack.
  • Innovate, troubleshoot, and optimize for performance and stability.
  • Inspire and foster a culture of creativity, inclusion, and technical excellence.
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • Add to team culture of diversity, opportunity, inclusion, and respect.
  • Drive 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).
  • 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 the value realized by automation.

Requirements

  • 5+ years of relevant software engineering experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud-native experience.
  • 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.
  • This role ensures that large language models (LLMs) including models such as Claude, ChatGPT, and comparable enterprise-approved models are used as controlled, well-understood components of the software engineering lifecycle.

Preferred Qualifications

  • Expertise in GenAI usage, transforming Software Engineering with an AI-first approach.
  • Advanced proficiency in Python software engineering skills.
  • Proficiency in Typescript, RAG, Vector, Graph, data structures, AWS, and performance tuning.
  • Advanced understanding of CI/CD, application resiliency, and security for AI applications.
  • Proficiency in testing and debugging low-latency applications.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.

Benefits

  • Competitive total rewards package including base salary determined based on the role, experience, skill set, and location.
  • Commission-based pay and/or discretionary incentive compensation for eligible roles, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.

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