We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Java/Python Lead Software Engineer at JPMorgan Chase within the  Consumer Community Banking Machine Learning & Intelligence Operations (MLIO)  technology group , 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.Hands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) such as Java and PythonProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Experience in building enterprise applications with high availability and performance using Spring, FastAPI, ORM, Kafka, Elastic Search, Distributed Cache.Hand on experience in UI Frameworks like ReactProficiency in SQL and Database development.Experience managing technologists, building large enterprise applications beyond exposing REST endpoints on database and cloud native applications based on 12 factor methodology.

Preferred qualifications, capabilities, and skills

Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDSProficiency in AWS security best practices and cost optimization strategies.