Job Description

JOB DESCRIPTION

Delivers secure, scalable tech solutions using Java/Python, AWS, DevOps, and cloud-native practices; expert in agile, automation, and financial services IT.


As a Lead Software Engineer at JPMorgan Chase within the Consumer & Commercial Banking area, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leaading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve 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 problems 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 Adds to team culture of diversity, opportunity, 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 stability Advanced in one or more programming language(s) Java or Python Advanced in AWS tools (EKS, ECS, RDS, Dynamo, Lambda, Glue) infrastructure. Service Oriented Architect experience as well as Containerization experience (Docker/Kubernetes) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Proficient in DevOps Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

Teradata experience Data Lakes experience AI/ML usage and implementation, design and techniques Strong problem solving skills, working on complex enterprise organizational projects Practical cloud native experience

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