Lead Software Engineer - AIML​/Python​/AWS

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products. Join our AIML Data Platforms team as a Platform Engineer and build the cloud‑native backbone for AI ’ll design and ship production‑grade services in Python on AWS, enabling high‑quality data and ML workflows that are secure, reliable, and fast from ingestion to model serving.

As a Lead Software Engineer at JPMorgan Chase in Corporate ‑ AIML Data Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high‑quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function‑wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision‑makers to consider the use and application of leading‑edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
  Python, Java, Golang
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience using Terraform
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud‑native experience AWS
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• AI agent building skills including using context engineering and rag

• Familiarity with Configuration Language (HCL) and the ability to manage infrastructure state using Terraform.