J.P. Morgan
Join JPMorgan Chase as a Senior Lead Software Engineer in AIML Data Platforms
Are you ready to be an integral part of an agile team that consistently pushes the boundaries to enhance, build, and deliver top‑tier technology products? At JPMorgan Chase, within the Corporate Sector – AIML Data Platforms, we are seeking a Senior Lead Software Engineer who will play a crucial role in driving business impact through technical expertise and innovative problem‑solving.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – 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. In this role you will 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.
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
Develops innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks
Develops and implements state‑of‑the‑art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
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
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
Hands‑on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis)
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.)
In-depth knowledge of the financial services industry and their IT systems
Expert in cloud native experience
Preferred qualifications, capabilities and skills
Familiarity with modern front‑end technologies
Advanced understanding of cloud technologies
Background in machine learning, deep learning, and neural networks
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Are you ready to be an integral part of an agile team that consistently pushes the boundaries to enhance, build, and deliver top‑tier technology products? At JPMorgan Chase, within the Corporate Sector – AIML Data Platforms, we are seeking a Senior Lead Software Engineer who will play a crucial role in driving business impact through technical expertise and innovative problem‑solving.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – 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. In this role you will 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.
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
Develops innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks
Develops and implements state‑of‑the‑art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
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
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
Hands‑on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis)
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.)
In-depth knowledge of the financial services industry and their IT systems
Expert in cloud native experience
Preferred qualifications, capabilities and skills
Familiarity with modern front‑end technologies
Advanced understanding of cloud technologies
Background in machine learning, deep learning, and neural networks
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