When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within the Consumer & Community Banking Digital Technology team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
Champion engineering best practices for stream processing (Flink), microservices (Java/Python), API design, CI/CD, observability, and resiliency
Leads design of high-throughput, low-latency applications leveraging state-of-the-art machine learning architectures deployed on AWS
Designs and develops secure, scalable microservices, and reviews and debugs code written by others
Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Executes creative software solutions across design, development, and technical troubleshooting, thinking beyond routine approaches to break down complex problem
Manage a team of 8-10 varying levels of Software Engineers in a matrix environment
Creates architecture and design artifacts for complex components and platform capabilities
Develops secure, high-quality production code and contributes to engineering best practices across the SDLC
Designs and implements near real-time streaming and event-driven processing using technologies such as Kafka, Kinesis, and Flink