Software Engineer III - Python / Cloud

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 firms 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.
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  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).

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• 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.