Big Data AWS Sr Manager of Software Engineering

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 JPMorgan

Chase 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 AWSDesigns 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 SDLCDesigns and implements near real-time streaming and event-driven processing using technologies such as Kafka, Kinesis, and Flink Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise

Strong management experience  in a matrixed management environment

Hands-on practical experience delivering system design, application development, testing, and operational stability

Experience building highly scalable Java based microservices-based applications Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.  Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

Practical cloud-native experience on AWS, including building high-throughput services using EKS, ECS/Fargate and S3

Hands-on experience in high-throughput, near real-time stream processing using Kafka, Kinesis, and Flink (on ECS/EKS where applicable)
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