Software Engineer III - AIML Experimentation, Observability and Governance

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

As 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).

Job Responsibilities

• 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.

Required Qualifications, Capabilities, and Skills

• Proven, production-oriented software engineering experience in large-scale environments.
• Hands-on experience in system design, application development, testing, and operational stability, with a strong Full Stack background (front-end and back-end).
• Proficiency in developing, debugging, and maintaining code in one or more modern programming languages (e.g., Java, Python, JavaScript/TypeScript).
• Solid experience with AWS cloud services and infrastructure automation using Terraform.
• Demonstrated ability to support technical initiatives and mentor junior engineers.
• Strong experience across the entire Software Development Life Cycle, including CI/CD, application resiliency, and security best practices.
• Proficiency in database design and querying (SQL/NoSQL).
• Experience working in agile teams and leveraging coding assistants and development harnesses to streamline software delivery.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred Qualifications, Capabilities, and Skills

• Experience with modern front-end technologies (e.g., React, Angular, Vue).
• Advanced knowledge of cloud technologies, especially AWS and Terraform.
• Familiarity with AIML/GenAI tools and platforms.
• Strong problem-solving, analytical, and communication skills, with a track record of delivering high-impact solutions.