Senior Lead Software Engineer

Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Lead Software Engineer at JPMorgan Chase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them. While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world. Job Responsibilities Design backend services and interfaces using clear domain models that translate business needs into maintainable software. Build secure, scalable cloud-native services that meet reliability and performance expectations. Structure code for readability, testability, and safe evolution through modular design and consistent patterns. Develop automated tests and delivery automation that improve change safety and reduce defects. Investigate incidents and defects, perform root-cause analysis, and implement durable corrective actions. Monitor application health and performance, and optimize data access patterns based on measured needs. Improve operational readiness through observability, alerting, and documentation that supports effective support and recovery. Lead adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Define validation standards for AI-assisted outputs, including secure coding, peer review, and automated testing. Promote reuse of effective patterns and shared components across the team to improve consistency and efficiency. Required qualifications, capabilities and skills 13+ years of applied software engineering experience. Proficiency in at least one Java language (such as Java or Kotlin). Experience designing and building backend services and application programming interfaces for production use. Experience building and operating cloud-native services, including deployment and runtime operations. Demonstrated ability to design software for reliability, scalability, and maintainability. Working knowledge of secure coding practices and common application security risks. Experience with automated testing practices (unit and integration testing, as applicable). Experience using software development lifecycle tools (source control, continuous integration, automated testing, and deployment tooling). Experience using enterprise-authorized artificial intelligence-assisted development or automation tools, including validation of outputs for correctness and security. Preferred qualifications, capabilities and skills (0–7 bullets) Experience with payment processing or transaction-focused systems. Experience coaching engineers on safe and effective use of approved AI-assisted engineering tools. Experience improving operational readiness (service monitoring, alerting, and support documentation). Experience with multi-cloud architectures or portability patterns.