Lead Software Engineer

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer with proficiency in Python and Java to guide agile teams within Consumer and Community Banking’s Operations Technology Voice.

You’ll craft secure, scalable technology products and mentor engineers while advancing AI-assisted development practices across the SDLC. You will influence design decisions and partner with stakeholders to deliver trusted solutions.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience delivering system design and production code.
• Proficiency in at least one programming language.
• Experience using enterprise AI-assisted development tools for coding, reviews, and testing.
• Strong understanding of responsible AI use and security practices.
• Ability to work independently with minimal oversight.
• Experience mentoring mid- and senior engineers.
• Ability to communicate with engineers and non-technical senior stakeholders.
• Knowledge of secure engineering, data privacy, and controls.

Responsibilities

• Provide technical guidance to business and technical teams, contractors, and vendors.
• Develop secure production code and review others' code.
• Drive AI-assisted engineering practices across teams with measurable validation standards.
• Apply SDLC tooling knowledge to improve automation value at scale.
• Influence product design and operational processes and act as SME.
• Promote firmwide frameworks, tools, and practices in the SDLC.

Skills

Software engineering concepts

System design

Application development

AI-assisted development tools

Security & data privacy

Mentoring engineers

Communication with stakeholders

Independent problem solving

Code reviews

Testing and reliability

Tools

Amazon Connect

AWS Lambda

Kinesis Data Streams

Salesforce/Pega (CRM integration)

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer Python Java at JPMorgan Chase within Consumer and Community Banking’s Operations Technology Voice organization, you will be an integral part of an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable manner. You will apply deep technical expertise and problem-solving methodologies to address challenges spanning multiple technologies and applications while driving significant business impact through your leadership and contributions.

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
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience mentoring and developing mid-level and senior engineers, including setting technical standards and conducting substantive design and code reviews.
• Proven ability to influence and communicate effectively with both engineering teams and non-technical senior stakeholders, including written design documentation and executive-level verbal updates.
• Working knowledge of secure engineering, data privacy, and controls expectations for systems handling sensitive customer data and recorded interactions.

• Experience with CI/CD, infrastructure as code, and automated testing in a regulated enterprise environment.

Preferred qualifications, capabilities and skills

• Hands-on experience designing, building, or migrating production IVR / contact center solutions, particularly migrations to Amazon Connect from legacy platforms (e.g., Genesys/PureConnect/Engage, Avaya, Cisco UCCE/CVP, NICE CXone, Twilio Flex).
• Deep working knowledge of Amazon Connect core components: Contact Flows, Routing Profiles, Queues, Quick Connects, Hours of Operation, Agent Workspace, and Contact Lens.
• Experience integrating Connect with AWS Lambda for contact-flow logic, Amazon Lex (v2) for conversational IVR / intent routing, Amazon Polly for TTS, and Kinesis Video / Data Streams for call recording and real-time event streams.

• Familiarity with Connect Streams API, Contact Control Panel (CCP) embedding, and CTI/screen-pop integration into agent desktops or CRMs (e.g., Salesforce Service Cloud, Pega, in-house agent UIs).

• Experience building self-service IVR journeys, DTMF and natural-language menus, callback/queue-position features, and intelligent/attribute-based routing.

• Practical cloud native experience