Senior Lead Software Engineer - Python/Java/Spring/AWS

JPMorganChase • Plano, TX

6h

About The Position

As a Senior 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 securely, stably, and at scale. The role drives business impact through deep technical expertise and problem-solving across multiple technologies and applications.

You will lead effective adoption of enterprise-authorized AI-assisted engineering practices, establishing standards for validating AI outputs and promoting secure, reusable patterns. You will develop and review production code, improve operational stability through automation, contribute to architectural evaluations, and lead Software Engineering communities of practice to increase awareness and use of emerging technologies.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Experience leading 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.
• 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 knowledge includes Java 17, annotations, enums, collections, streams, multithreading, concurrency, regular expressions, and functions.
• In-depth Spring Framework knowledge for building RESTful web services, MVC applications, and Spring Boot applications.
• Strong AWS experience architecting, deploying, and operating cloud-native services, including 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 practical 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

• Create software solutions through design, development, and technical troubleshooting, applying creative approaches to technical problems.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards and promote reusable patterns.
• Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Develop secure, high-quality production code, and review and debug code written by others.
• Identify opportunities to eliminate or automate recurring issues and improve application and system 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.
• Lead Software Engineering communities of practice to promote awareness and use of new and leading-edge technologies.

What This Job Offers

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