J.P. Morgan
Senior Lead Software Engineer - Java/Kafka/Flink/AWS
J.P. Morgan, Wilmington, Delaware, us, 19894
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 - Java/Kafka/Flink/AWS at JPMorgan Chase within the Consumer and Community Banking, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your expertise and contributions will promote significant business impact, as you apply your deep technical knowledge and problem-solving skills to address a wide range of challenges across various technologies and applications.
Job responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the 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) including Java, Spring, Streaming, Kafka streams, Kafka connect, Flink, AWS, data analytics, and big data
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
Experience creating POCs Experience or exposure to AI/ML
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Experience creating POCs Experience or exposure to AI/ML
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