Lead Software Engineer - Infrastructure Cloud

Job Description
We have an exciting and rewarding opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Our team focuses on applying GenAI, ML and statistical models to solve business problems in the Global Wealth Management space.
As a Lead Software Engineer - Infrastructure Cloud at JPMorgan Chase within the Asset and Wealth Management Technology Team, you will collaborate with development teams to enhance the developer experience, delivering end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide.
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 5+ years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficient with Public Cloud services in Production (AWS or other) with proficiency in python scripting language
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying language
• Experience with Infrastructure as Code (Terraform or other).
• 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.).
• 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.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

Preferred qualifications, capabilities, and skills

• Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus.
• 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.