Senior Lead Software Engineer

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, seeks an experienced software engineer to design, develop, and troubleshoot enterprise-grade solutions. You will work with Java, Spring, REST APIs, and cloud technologies to deliver scalable microservices.

You will lead AI-assisted coding practices, ensure secure, reliable code, and collaborate with teams to drive performance, quality, and compliance across the SDLC.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 8+ years of software development experience.
• Experience leading use of AI-assisted development tools with focus on correctness, performance and security.
• Strong understanding of responsible AI use in engineering workflows and security.
• Strong CS fundamentals: algorithms and data structures.

Responsibilities

• Develops and troubleshoots software solutions with non-routine problem solving.
• Drives adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Applies SDLC toolchain knowledge to improve automation value.
• Produces architecture and design artifacts while ensuring constraints are met by code.
• Identifies hidden data patterns to improve coding hygiene and system architecture.
• Contributes to software engineering communities and explorations of new tech.

Skills

Java

Spring

REST APIs

Kafka

PostgreSQL

Microservices

Cloud (AWS/GCP/Azure)

CI/CD

Jenkins

Git

Education

Bachelor's degree in CS or related

Tools

Jenkins

Git/Bitbucket

CI/CD tooling

PostgreSQL

Job description

Job responsibilities:

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


• 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.


• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems


• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development


• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture


• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.


• 8+ years of software development 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


• Strong understanding of computer science fundamentals, algorithms, and data structures.


• Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, Kafka, Postgres SQL and Microservices architectures.


• Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.


• Proficiency in designing and implementing data models for relational databases.


• Experience with using relational database like Postgres SQL.


• Experience working on Cloud platform (AWS/GCP/Azure/Kubernetes).

Preferred qualifications, capabilities, and skills:

• Experience in Identity and Access Management.


• Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.


• Experience in Cloud and Container based development (Gaia, Kubernetes).