Sr Lead Software Engineer:Java/AI

JPMorgan Chase & Co.; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

JPMorganChase Senior Lead Software Engineer within the Consumer and Community Banking Cobranded Cards Team focuses on delivering trusted, scalable technology products. You will be a core technical contributor across multiple domains, shaping design, security, and reliability for the firm.

You will lead others in adopting enterprise AI-assisted development, build internal tools and platforms, and drive on-call excellence, SLOs, and high-availability delivery.

Qualifications

• Advanced Java development experience in production systems.
• Experience with AI-assisted coding, testing, and debugging.
• Strong knowledge of cloud platforms and distributed systems.
• Operationally focused with reliability, SLOs, and high uptime.
• Ability to design and ship internal developer tools and dashboards.

Responsibilities

• Regularly provides technical guidance to teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' work with AI-assisted tooling.
• Drives architecture and design decisions across product features and platforms.
• Designs and maintains internal tooling and developer platforms for productivity.
• Acts as SME in AI/ML applications within software engineering workflows.
• Owns and operates systems with 24x7 high-traffic uptime and incident response.
• Advances engineering practices and SDLC standards across the team.
• Promotes adoption of enterprise AI tooling and automation strategies.

Skills

Java

AI Tools

Cloud

Distributed Systems

On-call

Security

Code Review

DevOps

Tools

Jenkins

Kubernetes

AWS

CI/CD

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded CardsTeam, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.

• Develops secure and high-quality production code, and reviews and debugs code written by others—leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.

• Drives decisions that influence product design, application functionality, and technical operations and processes.

• Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.

• Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.

• Owns and operates systems that run 24x7 at high traffic scale—including on-call responsibilities, incident response, and post-mortem analysis with a strong bias toward proactive reliability improvements over reactive firefighting.

• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

• Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.

• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience.

• Hands-on practical experience delivering system design, application development, testing, and operational stability.

• Advanced in the Java programming language and associated ecosystem.

• Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code—and the judgment to validate, refactor, and take ownership of AI-generated output.

• Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.

• Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes—including experience with SLOs, alerting, capacity planning, and graceful degradation.

• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).

• Ability to tackle design and functionality problems independently with little to no oversight.

• 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

• Experience with banking and credit card ecosystems

• AWS Certification