Lead Security - Full-Stack Software Engineer
JPMorgan Chase
Description
As a Lead Full Stack Software Engineer at JPMorgan Chase within Cybersecurity and Technology Controls, you serve as a seasoned member of an engineering team that works to lead the delivery of software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. The solutions you build directly enable Cyber Operations users and stakeholders through delivery and refinement of critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives.
You will lead the design and implementation of scalable and maintainable front-end solutions. You will collaborate closely with product managers, UX/UI designers, and backend engineers to deliver high-quality user experiences. Your role will involve mentoring junior developers and promoting best practices in coding and testing. You will help drive technical decisions and ensure the feasibility of UI/UX designs. Together, we will create innovative products that delight our users.
Required qualifications, capabilities, and skills
Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment.
5+ years of work-related experience in a professional software engineering role and leading a team/s.
Experience with front-end technologies, such as HTML5, CSS3, and JavaScript.
Hands-on experience with React.js and its core principles.
Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL.
Experience with relational (SQL) and NoSQL databases, including data modelling and optimization.
Experience in Java and Spring Boot for backend development and system architecture.
Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, Git/GitHub, and Test Driven Development.
Strong proficiency in Python, with a deep understanding of object-oriented programming principles.
Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired.
Strong problem-solving, communication, and leadership skills.
Demonstrated ability to leverage AI-powered coding assistants to accelerate development, improve code quality, and integrate best practices across the software lifecycle, while exercising sound judgment on when to rely on automation versus writing code by hand.