Lead Software Engineer - Infrastructure Cloud
Lead Software Engineer - Infrastructure Cloud
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Job Description
We have an exciting and rewarding opportunity to impact your career and provide an adventure where you can push the limits of whats 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 willcollaborate with development teams to enhance the developer experience delivering endtoend cuttingedge solutions in the form of cloudnative 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 highquality 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.
- Handson 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 crossfunctional 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 cuttingedge techniques and leverage external APIs for enhanced functionality.
Employment Type
Full-Time
