Sr Lead Software Engineer - Java/Python, Data Engineering
JPMorgan Chase & Co.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand plus specialized mid-senior data engineering and LLM skill requirements create moderate competition.
Focus on KYC/risk platforms, regulated LLMs, and finance data governance requires industry-specific expertise.
Explicit 5+ years plus mandatory enterprise data engineering, cloud, Kafka, databases, and LLM production experience increase strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own development and delivery of secure, scalable data engineering solutions supporting Global KYC and Risk Assessment Data Platform.
Lead architectural design, engineering standards, and best practices across multiple teams, with a focus on AI/ML and LLM-based applications in regulated environments.
Mentor engineers and drive adoption of advanced technical methods including AI-assisted development and automation at enterprise scale.
Minimum Requirements
5+ years of applied software engineering experience with formal training or certification.
Hands-on expertise with Python and/or Java programming languages and enterprise-scale system design, development, and testing.
Practical experience designing and deploying production AI/ML systems including agentic AI workflows and LLM applications under regulatory constraints.
Experience with cloud-native environments (AWS, Azure, or GCP), large-scale data processing, microservices, APIs, and observability tooling.
Ideal Candidate Profile
Senior software engineer with strong background in data engineering, AI/ML system development, and regulated financial environments.
Experienced in leading cross-team architectural decisions and establishing engineering standards especially for AI-driven applications.
Comfortable working in complex enterprise settings with advanced cloud-native technologies, big data platforms, and communicating with senior stakeholders.