Bulge Bracket Investment Banks

Posted 8 days ago

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**You'll lead our Java full-stack engineers as a Lead Software Engineer in Plano, TX. You'll drive design, development, and delivery of scalable, secure IAM solutions, utilizing Spring Boot, API, and microservices. Mentorship, AI-assisted tool integration, and cross-functional collaboration are key. A Bachelor's in Computer Science and 5+ years of experience required, with expertise in Java, web services, databases, and CI/CD. Bring your proven leadership skills to our dynamic team.**

Compensation: Not specified
City: Not specified
Country: United States

Full Job Description

Location: Plano, TX, United States

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer - Identity Access Management at JPMorgan Chase within the CTO Team, you will be part of a team that works to enhance, design, and deliver the software components of the firms state-of-the-art technology products in a secure, stable, and scalable way. As a core technical contributor of a software engineering team, you will need to execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

The IAM Team's culture is collaborative, and teams display a zeal to solve problems. Exposure to multiple stakeholders and having thought-provoking technical/business discussions pave the way for diversity of thought and constant learning, which enables us to create the most efficient solutions for our clients.

Job responsibilities:

Design and develop scalable and resilient systems in a timely manner, and perform iterative improvements for product teams.
Design, write, comment and unit test code to confirm software modules are of the highest quality.
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
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.
Handle critical and time sensitive concurrent tasks with supervision and properly escalate situations as appropriate.
Identify and implement continuous improvement opportunities, to improve delivery flow across product and technology.
Mentor and develop team members skills in design, new technology, clean code, TDD, code review, and problem solving
Investigating and liaising with product/customers to gain information about the programs overall function and ends user experience.
Incorporate non-functional requirements including Telemetry, Monitoring, Security, Alerts, Logs into Software solution.
Assist with production related issues as needed.

Required qualifications, capabilities and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience
Expert understanding of OOP concepts, Design Patterns, Extensive Software Analysis and Design experience
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
Experience with Java, Web Services (REST, API), Spring Boot, Microservices, Multithreading, database technology such as Oracle / MS SQL / Cockroach
Experience working with terraform or similar declarative Infrastructure as Code (IaC) tools
Experience working with Test automation such as Selenium, Cucumber, Blazemeter etc.
Experience with Agile Development Techniques, Issue/Bug Management and Team Collaboration Tools
Experience with Git, Jenkins CI/CD, Application Resiliency, and Security
Experience with Performance, Telemetry, Monitoring, Alerts, Logging etc. non-functional tools.

Preferred qualifications, capabilities and skills

Experience with customer facing web applications, NOSQL databases such as Mongo, Agentic AI
Strong interpersonal and communication skills
Independent and self-motivated
Certification such as AI/ML, Java is preferred
Experience leading a technical team

Full Job Description

Location: Plano, TX, United States

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Job responsibilities:

Design and develop scalable and resilient systems in a timely manner, and perform iterative improvements for product teams.
Design, write, comment and unit test code to confirm software modules are of the highest quality.
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
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.
Handle critical and time sensitive concurrent tasks with supervision and properly escalate situations as appropriate.
Identify and implement continuous improvement opportunities, to improve delivery flow across product and technology.
Mentor and develop team members skills in design, new technology, clean code, TDD, code review, and problem solving
Investigating and liaising with product/customers to gain information about the programs overall function and ends user experience.
Incorporate non-functional requirements including Telemetry, Monitoring, Security, Alerts, Logs into Software solution.
Assist with production related issues as needed.

Required qualifications, capabilities and skills:

Formal training or certification on software engineering concepts and 5+ years applied experience
Expert understanding of OOP concepts, Design Patterns, Extensive Software Analysis and Design experience
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
Experience with Java, Web Services (REST, API), Spring Boot, Microservices, Multithreading, database technology such as Oracle / MS SQL / Cockroach
Experience working with terraform or similar declarative Infrastructure as Code (IaC) tools
Experience working with Test automation such as Selenium, Cucumber, Blazemeter etc.
Experience with Agile Development Techniques, Issue/Bug Management and Team Collaboration Tools
Experience with Git, Jenkins CI/CD, Application Resiliency, and Security
Experience with Performance, Telemetry, Monitoring, Alerts, Logging etc. non-functional tools.

Preferred qualifications, capabilities and skills

Experience with customer facing web applications, NOSQL databases such as Mongo, Agentic AI
Strong interpersonal and communication skills
Independent and self-motivated
Certification such as AI/ML, Java is preferred
Experience leading a technical team

Lead Software Engineer- Java Full Stack

Full Job Description

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