JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creating user interfaces and interactive features for web applications using languages and frameworks.
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines
Formal training or certification on software engineering concepts and 12+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience in software development of Micro services with Java, Spring Boot, Python
Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of Restful Web Services, WebSockets; JSON
Hands-on experience designing and building enterprise-scale, high-volume data processing applications using SQL databases such as Oracle.
Advanced Proficiency in front-end languages and libraries (e.g.C#, React) and back-end languages and frameworks (e.g., Java, Spring, Python etc.) and practical cloud native experience.
Proficient in all aspects of the Software Development Life Cycle and proficiency in automation and continuous delivery methods
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, 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/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Experience working across the entire Software Development Life Cycle in a large corporate environment.
Completed AWS Developer or Solution Architect Certification
In-depth knowledge of the financial services industry and their IT systems
Observability and production management tools (ex. Splunk / Dynatrace / Grafana)
A keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning.
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