Job Description

JOB DESCRIPTION

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


As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you will play a crucial role in an agile team dedicated to developing, improving, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable.

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 Experience with Java, Microservices, Spring Boot, and Kafka; Familiarity with Microservices architecture and related technologies such as Docker, Kubernetes, and API Gateway Experience with distributed tracing and monitoring tools such as Prometheus and Grafana Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle 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.) Practical cloud native experience

Preferred qualifications, capabilities, and skills

Good to have on Experience with AI technologies, including machine learning frameworks like TensorFlow or PyTorch In-depth knowledge of the financial services industry and their IT systems Good to have Python and AI

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