Join JPMorgan Chase as a 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 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 will be an integral part of an agile team dedicated to enhancing, building, and delivering market-leading technology products. You will have the opportunity to promote significant business impact through your technical expertise and innovative problem-solving, tackling diverse challenges across 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 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 systemsDevelops 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 frameworksDevelops 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respectRequired 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 stabilityAdvanced 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 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.)Expert in cloud native experiencePreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesBackground in machine learning, deep learning, and neural networksCertification in AWS In-depth knowledge of the financial services industry and their IT systems