Lead Software Engineer; Full Stack - Java/Boot/React, AI/ML, AWS
Job in
Houston, Harris County, Texas, 77020, USA
Listed on 2026-07-10
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-07-10
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
:
Category:
Software Engineering
Job Schedule:
Full time
Posted Date: T13:58:13+00:00
Job Shift:
:
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 at JPMorgan
Chase within Global banking space, 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 are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities
* Executes 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
* Develops secure high-quality production code, and reviews and debugs code written by others
* 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.
* Leads 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
* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
* Adds to team culture of diversity, opportunity, inclusion, and respect
Required Qualifications , Capabilities, and Skills
* Formal training or certification in software engineering concepts with 5+ years of applied experience
* Advanced experience designing and building scalable applications using Java and Spring Boot
* Advanced experience developing modern, responsive user interfaces using React
* Hands-on experience with AWS services (Lambda, EC2, ECS, S3, DynamoDB) and infrastructure as code using Terraform
* 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
* Strong hands-on experience with SQL and No
SQL databases and data-driven application design
* Ability to define technical strategy, drive best practices, and influence engineering teams
* Deep understanding of financial services, regulatory reporting, and enterprise IT systems
* Strong foundation across modern technical domains (e.g., AWS, AI/ML)
Preferred Qualifications , Capabilities, and Skills
* Modern front-end experience (JavaScript, Angular, or similar)
* AWS experience: SQS, SNS, Event Bridge, Step Functions, Cloud Watch, Python proficiency for scripting and data processing
* Experience using Git Hub Copilot
* Commercial experience in data, AWS, and AI/ML engineering (preferably financial services)
* Experience with recommendation systems, LLM applications, or other AI/ML systems
* Exposure to LLMs, RAG, Knowledge Graphs, Open Search, and vector databases
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