Job Description
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 language
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying language
- Experience 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 Security
- Experience 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.
