If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you.
As a Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job responsibilities
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Proven experience architecting and delivering large-scale, high-availability distributed systems processing high-volume, low-latency workloads
- Hands-on expertise with modern enterprise technology stacks, including Java/Kotlin, reactive and asynchronous frameworks, event-promoten architectures, containerized environments, and infrastructure-as-code tools
- Ability to promote complex, multi-workstream delivery programs from technical strategy through production release
- Experience embedding security, compliance, and regulatory controls into engineering workflows and CI/CD pipelines
- Track record of building, mentoring, and scaling engineering teams across multiple experience levels
- Ability to operate effectively at the intersection of technology and business, including presenting technical strategy and trade-offs to senior stakeholders
- Experience in the banking or financial services domain, with Digital Wallet or payments industry experience
- Extensive experience with AWS services, including architecture, deployment, and optimization of cloud-based solutions.
Preferred qualifications, capabilities, and skills
- Proficiency with architectural modeling languages such as UML or the C4 model, and familiarity with enterprise architecture frameworks
- Hands-on experience with event-driven architecture patterns, including technologies such as Kafka, event sourcing, and CQRS
- Exposure to AI/ML tooling, large language model integration, or AI-assisted software development practices
- Demonstrated expertise in building 0-to-1 applications, taking products from concept to launch.
- Skilled in processing and managing large volumes of data for settlement and reconciliation workflows, ensuring accuracy and efficiency.