Senior
Full Stack Engineer - Sr Lead Security Engineer
Join one of the world's most innovative financial institutions, where your engineering skills will help protect and power technology at a global scale. At JPMorganChase, we invest in our people, our platforms, and our future — offering you the opportunity to grow alongside cutting-edge technology and a team that values collaboration, curiosity, and continuous improvement.
As a Sr Lead Security Engineer at JPMorganChase within the Cybersecurity & Technology Controls team in Corporate Technology, you will design and deliver scalable, resilient full-stack solutions that sit at the intersection of security and engineering excellence. You will play a key role in advancing our digital asset custody platform, driving AI-assisted engineering practices, and ensuring our systems are built to the highest standards of reliability and security. This role offers the opportunity to work across a broad technology landscape — from cloud infrastructure to blockchain integrations — while contributing to a team that is shaping the future of secure financial technology.
Job responsibilities
-
Design and develop scalable, resilient systems using Java or Python, contributing to continual, iterative improvements for product teams through hands-on software solutions, development, and technical troubleshooting
-
Develop and operate microservices including API design, service decomposition, and reliability patterns such as timeouts, retries, idempotency, and dead-letter queues
-
Build and maintain integrations using AWS services including API Gateway, SQS, SNS, S3, and RDS; troubleshoot production issues across services and infrastructure
-
Produce clear design and architecture artifacts — including service boundaries, data flows, sequence diagrams, and architecture decision records — ensuring implementation aligns with design constraints
-
Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications and systems; identify hidden problems and patterns in data to improve coding hygiene and system architecture
-
Design and implement components of a digital asset custody platform, including signing pipeline services, policy evaluation engines, and chain adapter integrations across EVM and non-EVM networks
-
Architect, deploy, and manage scalable applications using AWS cloud services across the full software development lifecycle
-
Drive team adoption of enterprise-authorized AI-assisted engineering practices — including AI-assisted code review, refactoring, test strategy acceleration, and incident root-cause analysis — while establishing consistent validation standards for secure coding, peer review, and automated testing
-
Apply knowledge of Software Development Life Cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation tools, to improve the value realized through automation and delivery speed
-
Contribute to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
-
Formal training or certification on software engineering concepts and 5+ years applied experience
-
Hands-on practical experience in system design, application development, testing, and operational stability in a large corporate environment using one or more modern programming languages and database querying languages
-
Overall knowledge of the Software Development Life Cycle and agile methodologies including CI/CD, application resiliency, and security
-
Knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile
-
Experience with digital asset or financial services platforms, including familiarity with transaction lifecycle, key management concepts, or custody workflows
-
Experience architecting and building with AWS cloud services
-
Demonstrated experience leading effective use of approved AI-assisted software development tools — including coding, code review, test acceleration, and troubleshooting — with the ability to set team expectations for validating AI outputs for correctness, performance, and security
-
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
-
Familiarity with modern front-end technologies
-
Experience with blockchain technologies, including public chains such as Ethereum or other EVM-compatible networks
-
Experience with advanced CI/CD pipeline design and optimization
-
Experience with Terraform scripting and infrastructure-as-code best practices
#CTC
Sign up to apply and find out right away if you're a fit.
Is this role right for you?
Your agent will tell you — in seconds.
Sign up and I'll tell you right away how well JPMorgan Chase matches you — what you already have, and what's missing. Then I stay on it: I search for you and only write when I find something worth your time.