JPMorgan Lead Software Engineer - Python/AI/ML Backend 

United States, Delaware, Wilmington 

516505874

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.