Software Engineer III - AIML Experimentation, Observability and Governance

A s a Software Engineer III at JPMorganChase within AMDP, you will play a pivotal role in an agile team, helping to define, design, build, and maintain state-of-the-art technology products.

Leveraging your hands-on experience, you will deliver secure, stable, and scalable software solutions, with a strong focus on Full Stack development and cloud infrastructure (AWS, Terraform).

• Define, design, build, and maintain robust software solutions, ensuring scalability, security, and operational stability across multiple systems and applications.
• Develop high-quality, secure production code in modern programming languages, and provide technical guidance to junior engineers.
• Troubleshoot complex technical issues, considering upstream and downstream system impacts, and proactively resolve bottlenecks.
• Drive automation and efficiency by applying advanced knowledge of the Software Development Life Cycle (SDLC) toolchain, including CI/CD pipelines and infrastructure as code (IaC) using Terraform.
• Develop, review, and debug code across the stack (front-end, back-end, and cloud), ensuring best practices and code quality.
• Analyze large, diverse data sets to identify and solve problems, contributing to informed decision-making for secure, stable application development.
• Champion agile methodologies, application resiliency, and security throughout the development process.
• 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.
• Foster a culture of diversity, inclusion, and respect within the team, actively participating in knowledge sharing and collaboration.