at J.P. Morgan
Bulge Bracket Investment BanksPosted 15 days ago
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**Senior Lead Software Engineer (Python/Java/Spring/AWS) @ JPMorganChase - Plano, TX** Lead senior agile team, drive impact in Consumer & Community Banking. Responsible for enhancing, building, and delivering secure, scalable software. Key tasks include: - Creative problem-solving & design, leveraging Python, Java, Spring, and AWS (IAM, VPC, ECS, EKS). - Leadership in adopting AI-assisted engineering practices, improving code quality, and delivery speed. - Develop, review, debug secure, high-quality code, optimize operational stability using CI/CD. - Leverage build tools (Maven, Git, Jenkins, GitHub, BitBucket), web security (OAuth2, ADFS), and cloud-native services. Requires 5+ years' experience, formal software engineering training, proficiency in faced programming languages and frameworks, strong AWS experience, and familiarity with agile methodologies. Preferred: financial services IT knowledge, cloud native experience, IaC tools.
- Compensation
- Not specified
- City
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- Country
- United States
Currency: Not specified
Full Job Description
Location: Plano, TX, United States
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, Operations Technology, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
- Executes creative 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.
- Develops secure high-quality production code, and reviews and debugs code written by others
- 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
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied 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
- Advanced in one or more programming language(s): Python, J2EE , Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.
- Experience with spring including In-depth knowledge of Spring Framework for building RESTful Web Services, MVC, and Spring Boot.
- Strong AWS experience, architecting, deploying, and operating cloud-native services (e.g., IAM, VPC, ECS, EKS, SQS, S3, RDS, ALB/NLB, Secrets Manager, ElastiCache)
- Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
- Development using Agile methodology. 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 such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills:
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform
