Lead Software Engineer (Full Stack - Java/Spring Boot/React, AI/ML, AWS)

JPMorgan Chase & Co.
Houston, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Houston, United States of America

Tech stack

Java
JavaScript
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Automation of Tests
Software Quality
Code Review
Amazon DynamoDB
Graph Database
Python
Machine Learning
NoSQL
Recommender Systems
Software Tools
Responsive Web Design
Secure Coding
Software Engineering
Software Systems
SQL Databases
Strategies of Testing
Toolchain
Data Processing
Scripting (Bash/Python/Go/Ruby)
GitHub Copilot
React
Large Language Models
Spring-boot
State Machines
Angular
Information Technology
Production Code
Data Analytics
Machine Learning Operations
Front End Software Development
Cloudwatch
Amazon Web Services (AWS)
Terraform
Code Restructuring

Job description

As a Lead Software Engineer at JPMorganChase 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., * 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

Requirements

  • 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 NoSQL 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, EventBridge, Step Functions, CloudWatch, Python proficiency for scripting and data processing
  • Experience using GitHub 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, OpenSearch, and vector databases

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Apply for this position