Sr Manager of Software Engineering

Job Responsibilities

Lead one or more engineering teams and own day-to-day execution against product priorities, driving predictable delivery and removing impediments
Provide hands-on technical coaching, mentoring, and guidance on implementation approaches, tasks, and best practices
Build and sustain an effective team culture (including opportunity, inclusion, and respect) and support hiring, development, and recognition of talent
Partner with product and business leaders to define technology strategy, roadmap, and integration patterns with adjacent product areas
Break down complex and ambiguous business problems into implementable technical designs; anticipate dependencies and drive successful cross-team delivery
Champion engineering excellence and governance across the SDLC (automation/CI/CD, testing including automated functional testing, performance, resiliency, scalability), with accountability for controls and operational health
Design and deliver reusable technical solutions (including performant APIs processing high-volume payloads) using microservices, domain-driven design, data modeling, and event/streaming architectures across cloud/hybrid/on-prem environments
Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.

Required Qualifications, Capabilities And Skills

• Formal training in software engineering concepts and 5+ years of applied experience
• Demonstrated coaching and mentoring experience, including leading technology projects and Agile teams (scrum/backlog execution with product owners)
• Strong hands-on experience at the code level, engineering systems for high availability, resiliency, low latency, and scale
• Proficiency with modern backend stack including Java and Spring/Spring Boot; experience with distributed systems and cloud/hybrid/on-prem platforms, especially AWS
• Expertise with streaming/messaging and big data ecosystems (Kafka and Spark, including Spark SQL, tuning, and architecture), plus high-throughput messaging beyond Kafka (e.g., Kinesis)
• Experience with relevant AWS big data/services (e.g., Lambda, Glue, EMR), NoSQL databases (e.g., Cassandra, MongoDB), and cloud-native patterns/services for big data
• Deep expertise in front-end engineering: React, TypeScript/JavaScript, HTML/CSS, micro-frontends, reusable component libraries, design systems, accessibility/responsive design, RESTful APIs/state management, Git, and automated UI testing (e.g., Jest, React Testing Library)
• Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage

About The Team

Our 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.