Lead Software Engineer- Java Lead

JP Morgan Chase; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in Houston, TX seeks a Lead Software Engineer within Corporate Sector to drive development of trusted market-leading technology products in a secure, scalable environment. You will contribute technically across multiple domains in support of the firm’s objectives.

You will lead the design, implementation, and optimization of backend services, microservices, and AI-assisted tooling, collaborating in an agile team to raise code quality, performance, and security standards across

Qualifications

• 5+ years of hands-on software engineering experience including system design

Responsibilities

• Executes creative software solutions, design, development, and debugging including non-routine problems
• Develops secure, high-quality production code and reviews others' code
• Drives adoption of AI-assisted engineering practices to improve quality, speed and resilience
• Applies SDLC tools and automation capabilities to improve value and efficiency
• Identifies opportunities to automate remediation and improve stability of software applications
• Leads evaluation sessions with vendors and internal teams on architectural designs and applicability

Skills

Java

Spring Boot

Node.js

Microservices

AI-assisted development tools

CI/CD

Secure coding

Security

Cloud-native

Education

Software engineering certification

Tools

CI/CD tooling

AI-assisted development tools

Security tooling

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 at JPMorganChase within the Corporate Sector, 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 conducting 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 breakdown technical problems
• Develops secure and 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Formal training or certification in software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, backend development, testing, and production support.
• Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Advanced in one or more programming language(s)
• 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
• 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.).
• Practical cloud native experience

Preferred qualifications, capabilities, and skills:

• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• Experience in the banking domain.
• AWS certification.