Lead Software Engineer - Python
Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you'll help shape the future of model deployment at scale, collaborating with talented engineers and data scientists. You'll have the opportunity to work on impactful projects, grow your skills, and contribute to a platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence.
As a Software Engineer in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists and engineers to deliver features that streamline production workflows. Your contributions will help scale our platform to meet the needs of diverse internal clients, ensuring reliability and innovation. You will be part of a collaborative environment focused on continuous improvement and technical excellence.
Job Responsibilities:
- Build and deploy infrastructure solutions for seamless integration of control plane and client accounts
- Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling
- Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities
- Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction
- Engage with clients to identify strategic solutions and provide deployment and debugging support
- Assist in implementing platform capabilities aligned with product requirements
- Deploy infrastructure and develop managed environments for platform operations
Required Qualifications, Capabilities, and Skills:
- Knowledge of AWS services and cloud-based infrastructure
- Experience building resilient software platforms
- Proficiency in architecting software solutions at scale
- Ability to design solutions with strategic insight
- Proficiency in Python
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Preferred Qualifications, Capabilities, and Skills:
- Familiarity with monitoring tools, especially for AI/ML model monitoring
- Proficiency in Golang
- Experience with AWS Sagemaker for model training and deployment
- Familiarity with Kubernetes and managing deployments to EKS
- Knowledge of networking concepts such as Virtual Private Clouds and DNS
- Experience working with LLMs
- Experience with Terraform or other Infrastructure as Code tools
- Experience in API development and design
ABOUT US
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion