Lead Software Engineer in AI Platform Engineering
Lead Software Engineer in AI Platform Engineering
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1 Vacancy
Job Description
Join our CDAO AI-ML Platform Engineering Team in Delaware Technology Center in Wilmington.
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the CDAO Organization and AIML Group you will play a crucial role in an agile team dedicated to enhancing building and delivering trusted market-leading technology products in a secure stable and scalable manner. As a key technical contributor you will be responsible for implementing critical technology solutions across multiple technical domains within various business functions to support the firms business objectives. You will join our AI Platform Engineering team to develop the next-generation AI Platform for thousands of Data Scientists to utilize for a wide range of business cases.
Job responsibilities
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Creates and document designs and architectures
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Advanced in one or more programming language(s) Java and Python
- Hands-on practical experience delivering system design application development testing and operational stability
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- Hands on experience with practical cloud AWS services such as SNS SQS IAM DynamoDB Lambda Step Functions Serverless Architecture Jenkins
- Hands on experience working with Terraform development and deployments
- AWS Certifications
- Terraform Certifications
- Python Certifications
Employment Type
Full-Time
