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 JPMorgan Chase 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

• Leads technology and process implementations to achieve functional technology objectives

• Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures

• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations

• Own end-to-end delivery of large-scale credit card platform initiatives, managing scope, risk, and dependencies across multiple workstreams

• Provide architectural direction for platform engineering, designing highly available, fault-tolerant systems capable of processing transactions at scale with minimal latency

• Champion the adoption of AI-driven development practices, including AI-assisted code generation, automated testing, and predictive defect analysis

• Translate business requirements into scalable technical solutions, demonstrating understanding of the credit card lifecycle

• Partner with risk, compliance, and information security teams to embed controls into the software development lifecycle

• Guide the evolution of heritage credit card platforms into modern, distributed systems

• Evaluate and integrate data streaming, real-time analytics, and event-sourcing patterns to enable new credit card products and features

• Collaborate with enterprise architecture and platform engineering teams to ensure alignment with technology standards and cloud strategy

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-driven architectures, containerized environments, and infrastructure-as-code tools
• Experience leading platform modernization efforts, including decomposing monolithic systems into distributed architectures on major cloud platforms
• Ability to drive 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 credit card or payments industry experience
• Expertise in modernizing large, complex heritage ecosystems to distributed architectures

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
• Experience with real-time data streaming and analytics platforms in high-volume transactional systems