Full Stack Software Engineer III - Cross Risk Calculations - #1711568
JPMorgan Chase
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Full Stack Software Engineer III at JPMorgan Chase within Cross Risk Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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
- 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 external vendors, startups, and 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, equity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts with applied experience
- Experience as a full stack developer, including advanced proficiency in front-end technologies, specifically React
- Proficiency in Python programming
- Proficiency in SQL programming
- Proficiency in all aspects of the Software Development Life Cycle (SDLC)
- Experience with automation and continuous delivery methods
- Hands-on experience in system design, application development, testing, and ensuring operational stability
- Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance
- Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills:
- Proficiency in big data technologies such as Hadoop, Spark, or Kafka for handling large-scale data processing
- Familiar using tools like GitHub Copilot or Codeium
- Knowledge or practical experience with cloud-native technologies
- Knowledge of orchestration technologies, such as Prefect, Airflow, or Dagster
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