Lead Software Engineer - Java,AWS,Terraform

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. invites a Lead Software Engineer to join the Consumer and Community Banking technology team.

You will be a core technical contributor, delivering secure, scalable, and trusted software products in an agile environment. Implement Java/Spring applications, drive AI-assisted engineering practices, deploy on AWS using Terraform, and mentor colleagues on secure coding, testing, and operational resilience to meet the firm’s objectives.

Qualifications

• Formal software engineering training and 5+ years of experience.
• System design, application development, testing, and operational stability experience.
• Advanced in Java and Spring applications.
• AWS deployment experience with Terraform.
• Observability tooling experience (Grafana, Splunk).
• Experience building scalable APIs (high TPS).
• Experience leading AI-assisted development tools usage.

Responsibilities

• Executes creative software solutions and troubleshooting beyond routine approaches.
• Delivers secure, high-quality production code and reviews peers' code.
• Drives AI-assisted engineering practices to improve quality, speed, and security with validated outputs.
• Uses SDLC tools to increase automation and value.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads architecture/design evaluations with vendors and internal teams.

Skills

Java

Spring

AWS

Terraform

APIs at scale

AI-assisted development

SDLC

CI/CD & Security

Observability

Tools

Grafana

Splunk

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 Consumer and Community Banking’s technology team, 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s): Java
• Hands on development experience in building and supporting complex java (Spring) applications
• Experience deploying applications in AWS infra with EAC and terraform.
• Ability to troubleshoot and fix issues on deployed applications using Grafana , Splunk etc.
• Experience with building APIs at scale that can handle very high volume ( High TPS).
• 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