We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment.Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.Create secure and high-quality production code to deploy infrastructure.Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency.Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse sets for continuous improvement of software applications and systems.Identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture.Contribute to software engineering communities of practice and events that explore new and emerging technologies.Add to team culture of diversity, equity, inclusion, and respect.

 

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 3+ years of applied experience.Hands-on practical experience in system design, application development, testing, and operational stability.Proficient in python scripting languageExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languageExperience in applied AI/ML engineering, with a track record of deploying business critical GenAI, machine learning models in production.Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.).Experience with Public Cloud services in Production (AWS or other) and  Infrastructure as Code (Terraform or other).Ability to tackle design and functionality problems independently Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityExperience in architecting, supporting, and implementing advanced, strategic CICD migrations

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end or back-end technologies.Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus.Proficient in coding in one or more languages.Experience in designing and  implementing AI/ML/LLM/GenAI pipelines.Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.