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 what's 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 firm's 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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsCreates and document designs and architecturesLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceAdvanced in one or more programming language(s) Java and PythonHands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated 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, JenkinsHands on experience working with Terraform development and deploymentsPreferred qualifications, capabilities, and skillsAWS CertificationsTerraform CertificationsPython Certifications