Lead Software Engineer-Java and AWS
JP Morgan
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Architecture and Engineering, Core Platform Engineering, you will be an integral part of an agile team focused on developing, improving, and implementing innovative technology products that emphasize security, stability, and scalability. In this key technical role, you will be responsible for delivering essential technology solutions across various technical domains, supporting diverse business functions in achieving the firm's strategic goals.
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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability of Java, Spring Boot, Micro services, AWS, Kafka applications 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.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience
Preferred qualifications, capabilities, and skills
Proficient in Kafka is a plus Knowledge of Performance Engineering and Chaos Engineering
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