

Search by job, company or skills

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a Manager of Software Engineering at JPMorganChase within the Asset and Wealth Management, youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres to compliance standards, business requirements, and tactical best practices.
Job responsibilities
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Preferred qualifications, capabilities, and skills
JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase
Job ID: 151603553
Skills:
Test Automation, Software Testing, Api Testing, Python, AWS Cloud Services, DevOps practices, quality engineering, model performance testing, data quality validation, AI ML Models and Applications, Machine Learning lifecycle and validation techniques, CI CD pipelines, cloud-native application testing
Skills:
resiliency , secure coding , Java, Machine Learning, Testing, Software Development Life Cycle, React, cloud, automation, Python, Ai, agile delivery, CI CD, platform engineering, Production Support, infrastructure software, AI-assisted development tools, controls engineering
Skills:
PostgreSQL, Microservices, Rest Api, Nosql, React, Typescript, Flask, Python, AWS, Jwt, Mssql, Sql, Git, FastAPI, Tsql, Azure, Kubernetes, NiceGUI, Python testing frameworks, SQL Alchemy, Software engineering principles, Plotly-Dash, Streamlit, Generative AI applications
Skills:
Testing, Software Architecture, Design, structural architecture-fitness tests, developer-platform work, spec-driven development, type checkers, context engineering, AI coding agents, Static Analysis, containerized build test environments, Development, agent orchestration, linters, deterministic computational controls, instrumentation observability, fitness functions, CI pipelines
Skills:
Software Development Life Cycle, Sql, Agile Methodologies, Java, Reactjs, Springboot, CI CD, AWS cloud technologies, enterprise-authorized AI-assisted software development tools, Security, NoSQL databases, Application Resiliency