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

JPMorgan Chase & Co.; Plano (TX); Presencial; USD 140 000 - 180 000; Tempo integral

Resumo da oferta

JPMorganChase in Plano, TX seeks a Senior Lead Software Engineer to push the envelope in building trusted market-leading technology products. You will work in an agile team to enhance, build, and deliver secure, scalable software across multiple technologies and applications.

Responsibilities include driving AI-assisted development practices, code reviews, and automated testing, while coaching engineers on safe, compliant adoption and security.

Qualificações

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated experience leading AI-assisted software development tools with validated outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, and secure adoption.

Responsabilidades

• Executes creative software solutions, design, development, and troubleshooting.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Develops secure, high-quality production code and reviews code written by others.
• Identifies opportunities to automate remediation of recurring issues to improve stability.
• Lead evaluation sessions with vendors and internal teams on architectures and applicability.

Conhecimentos

AI-assisted development

Python

Java 17

Spring Framework

AWS

CI/CD

Agile methodologies

Secure coding

Code review

Automation testing

Ferramentas

JIRA

Maven

Git

Jenkins

GitHub

Bitbucket

Descrição da oferta de emprego

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 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