Lead Software Engineer - Python/Java/Spring/AWS

JPMorganChase • Plano, TX

7h

About The Position

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking, Operations Technology, you will be an integral part of an agile team enhancing, building, and delivering trusted technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives.

The role involves designing, developing, and troubleshooting software; producing secure, high-quality production code; and helping the team adopt approved AI-assisted engineering practices with consistent standards for validating AI outputs. You will use software development lifecycle tools and automation to improve delivery and operational outcomes, address recurring issues, and evaluate external and internal technology solutions for fit with existing systems and information architecture.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Demonstrated experience leading the effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, or troubleshooting, and setting expectations for validating outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
• Advanced proficiency in one or more programming languages, including Python, J2EE, or Core Java; Java experience includes Java 17 and topics such as annotations, enums, collections, streams, multithreading, concurrency, regular expressions, and functions.
• In-depth knowledge of the Spring Framework for RESTful web services, MVC, and Spring Boot.
• Strong AWS experience architecting, deploying, and operating cloud-native services, such as IAM, VPC, ECS, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, and ElastiCache.
• Experience with build and integration tools, including JIRA, Maven, Git, Jenkins, GitHub, and Bitbucket.
• Experience developing using Agile methodology.
• Knowledge of web security, including OAuth2/ADFS, Kerberos, cross-site scripting, and HTTP injection.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Advanced understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.

Nice To Haves

• In-depth knowledge of the financial services industry and its IT systems.
• Practical cloud-native experience.
• Familiarity with Infrastructure as Code tools such as Terraform.

Responsibilities

• Design, develop, and troubleshoot creative software solutions, using approaches that go beyond routine methods to address technical problems.
• Develop secure, high-quality production code and review and debug code written by others.
• Lead team adoption of enterprise-authorized AI-assisted engineering practices, establishing validation standards for secure coding, peer review, and automated testing, and promoting reuse of effective patterns.
• Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve application and system operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed