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

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase 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.

• 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

• 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, Elasti Cache)
• Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, Git Hub and Bit Bucket 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

• 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