The role
From JPMorgan Chase's own posting.
As a senior member of the Software Engineering team within the Revenue Management Technology organization, you’ll contribute to the technology product roadmap, be responsible for design, hands-on development, and delivery of technology products. You'll partner with business, operations and technology stakeholders to continuously innovate, contribute to the product vision and the technology roadmap to correlate business strategy with technology outcomes.
We look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment - one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your years of designing and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You’ll work with highly inspired and inquisitive team of technologists who are already developing and delivering top quality technology products with the highest standards to our Customers and Company Stakeholders. With your deep knowledge of design, analytics, development, coding, testing, and application programming, you and your team will raise their game even more, meeting your standards, as well as satisfying both business and functional requirements.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Hands-on practical experience in system design, application development, testing, and operational stability
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Full stack development in modern technologies for large enterprise technology platforms and systems
Hands-on experience coding micro-services in Java and Spring Boot , and building reactive APIs.
Hands-on experience building web applications using JavaScript frameworks (e.g. React , Angular)
Hands-on experience using SQL/ NoSQL databases (e.g. Oracle, Cassandra, MongoDB, …)
Hands-on experience using messaging/event streaming platform (e.g. Kafka)
Experience in deploying applications using Docker containers and Kubernetes to Cloud platforms
Familiarity with design patterns and anti-patterns
Knowledge of performance engineering, tuning and building technology products for scale
Experience with AI/ML