Manager of Software Engineering - Java and AWS

Job Responsibilities

Provides guidance to immediate team of software engineers on daily tasks and activities
Sets the overall guidance and expectations for team output, practices, and collaboration
Anticipates dependencies with other teams to deliver products and applications in line with business requirements
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.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements
Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated coaching and mentoring experience.
• Proficiency developing backend services in Java with Spring Boot within microservices architectures.
• Hands-on experience defining cloud infrastructure as code with Terraform and operating services AWS.
• Experience containerizing and orchestrating applications with Docker and Kubernetes.
• Practical experience with relational and NoSQL databases, including Postgres, Cassandra, MongoDB, and Redis.
• Experience building and maintaining event streaming solutions using Kafka or RabbitMQ.
• Well-versed in DevOps and SRE practices, including CI/CD with Jenkins and observability using Splunk and Grafana.
• 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.

Preferred Qualifications, Capabilities, And Skills

• Cloud certification in AWS.
• Experience implementing observability and SRE practices using Splunk and Grafana.
• Experience with performance tuning, capacity planning, and reliability engineering for high-throughput services.
• Familiarity with secure coding practices and threat modeling.

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.