Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Design and implement enterprise-grade Machine Learning platforms capable of deploying and running predictive models at scale.


* Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.


* Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components.


* Build tools and automation solutions for monitoring, provisioning, and streamlining processes, services, and reporting.


* Establish comprehensive monitoring and alerting frameworks to ensure optimal performance, scalability, availability, and reliability.


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* 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.


* Partner closely with Product teams to design, build, and deliver capabilities through agile sprints.


* Leverage strong operational insights to recommend improvements to upstream products, processes, and policies that enhance the user experience.


* Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.


* Deliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practices.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Experience in building high-volume, low-latency, high-throughput transactional systems.


* Experience in building microservices using Java/Spring Boot and Python/Fastapi/Flask


* Experience with AWS services - S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.


* Experienced with ...