Execute software solutions, design, and develop applications; troubleshoot complex problems with innovative approaches.
Deliver secure, high-quality production code and maintain algorithms that integrate with related systems.
Leverage enterprise-approved AI coding tools to improve code quality, delivery speed, and productivity; validate outputs via peer review, automated tests, and secure coding standards; share learnings with the team.
Use SDLC tools and AI-assisted development to enhance automation and efficiency.
Produce architecture and design artifacts and ensure design constraints are met by software.

Jobs at JPMorgan Chase & Co.

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About the role

Full Stack Software Engineer III – Network Perimeter & CDN

Overview: Join JPMorgan Chase as a Full Stack Software Engineer III on the Network Services team. You will be a seasoned member of an agile group responsible for designing and delivering secure, scalable technology products across multiple business functions to support the firm’s objectives. This is an office-based role in Seattle, Washington.

Responsibilities

Qualifications:

Execute software solutions, design, and develop applications; troubleshoot complex problems with innovative approaches.
Deliver secure, high-quality production code and maintain algorithms that integrate with related systems.
Leverage enterprise-approved AI coding tools to improve code quality, delivery speed, and productivity; validate outputs via peer review, automated tests, and secure coding standards; share learnings with the team.
Use SDLC tools and AI-assisted development to enhance automation and efficiency.
Produce architecture and design artifacts and ensure design constraints are met by software.
Analyze large datasets to create visualizations and reporting that drive continuous improvement.
Proactively identify hidden data patterns and drive improvements to coding hygiene and system architecture.
Lead through influence via code reviews, technical decision-making, and mentoring.
Embrace Agile practices, CI/CD, application resiliency, and security in development work; adhere to secure coding practices.
Understand responsible AI use in engineering workflows and guide peers on safe usage.
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Key requirements

Execute software solutions, design, and develop applications; troubleshoot complex problems with innovative approaches.
Deliver secure, high-quality production code and maintain algorithms that integrate with related systems.
Leverage enterprise-approved AI coding tools to improve code quality, delivery speed, and productivity; validate outputs via peer review, automated tests, and secure coding standards; share learnings with the team.
Use SDLC tools and AI-assisted development to enhance automation and efficiency.
Produce architecture and design artifacts and ensure design constraints are met by software.