If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.
As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.
Job Responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Architects and implements cloud-native platforms and infrastructure solutions at enterprise scale
- Advises cross-functional teams on technological matters within domain of expertis
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse 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 at scale.
- Serves as the function's go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
- Champions the firm's culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities and skills
- Bachelor's or master's degree in computer science, computer engineering, software engineering, or related technical field with 15+ years of applied experience
- Hands-on, current programming experiencedelivering system design, application development, testing, and operational stability
- Expert-level proficiency in Go Lang and/or Javawith demonstrated ability to write production-grade code
- Deep understanding of cloud infrastructure, with extensive hands-on experience in AWS. Proven track record of architecting and building cloud platforms from the ground up, including design, implementation, and production deployment
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance ability to influence senior technical leaders on safe scaling patterns and reuse.
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in cloud technologies, distributed systems, and platform engineering
- Experience applying expertise and new methods to determine solutions for complex technology problems in cloud architecture and infrastructure
- Experience leading a product as a Product Owner or Product Manager. Ability to present and effectively communicate with Senior Leaders and Executives
- Understanding of the business and how technology enables business outcomes
- Practical cloud-native experience with microservices, containerization (Docker/Kubernetes), and CI/CD pipelines
