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 - Python/AI/ML Backend Engineer at JPMorgan Chase within the Chief Data & Analytics Office (CDAO), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading and cutting edge technology products in a secure, stable, and scalable way. This technology includes AI/ML Platform Solutions using python based REST APIs, SDKs, & Generative AI; all deployed on the public cloud using modern standards and patterns. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Work closely with the Product team to design, build and deliver capabilities in agile sprints. Collaborate with cross-functional teams, including data scientists, software engineers, and designers, to integrate with various applications and products. Adds to team culture of diversity, equity, inclusion, and respect.Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, cloud deployment strategies, and operational stability. Experience working with Python, Generative AI, cloud based ML platforms, AWS SageMaker, Azure OpenAI, Google Vertex, Databricks, Terraform, Jenkins, DynamoDB, Cassandra etc. 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, etc.) Practical cloud native experience.Preferred qualifications, capabilities, and skills
Knowledge of data analytics tools will be a plus. Ability to adapt to new technologies and learn quickly in a fast-paced environment.