JPMorgan Chase—Manager of Software Engineering

Job description

Description: Engineering Lead/Manager – Java/SpringBoot/Kafka/Flink/AWS/EKS 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 and Community Banking - Banking Data Technology Team, 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: - 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 - Bachelors or Masters Degree in Computer Science or equivalent - Minimum 10 years of hands-on Java/SpringBoot/Kafka/Flink/AWS/EKS environment that demonstrates exceptional design, coding, testing and debugging skills - Hands-on practical experience delivering system design, application development, testing, and operational stability - Advanced in one or more programming language(s) and framework(s) (i.e., Java, Spring framework, Kafka Streams, Flink, Data Lake & Low Latency stores) - Proficiency in automation and continuous delivery methods - Ability to tackle design and functionality problems independently with little to no oversight - 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: - Apache Flink, Kafka and Confluent Cloud - Experience working with Petabyte scale environments and streaming billions of events per day - Advanced knowledge AWS and EKS