Sr Manager of Software Engineering

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.
• Lead the design of high-throughput, low-latency applications leveraging state-of-the-art machine learning architectures deployed on AWS.
• Design and develop secure, scalable microservices, and review and debug 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 problems.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve operational stability, resiliency, and performance.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Manage a team of 8-10 varying levels of Software Engineers and matrix across teams.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Builds highly scalable Java based microservices-based applications.
• 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).
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security best practices.
• Proficiency with source code control systems such as Git, Bitbucket, or SVN.
• Demonstrated proficiency in software applications and technical processes in one or more disciplines (e.g., cloud, AI/ML).

About The Team

The Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.