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Sr Lead Software Engineer at JPMorganChase · Houston, TX · Joined
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Sr Lead Software Engineer

JPMorganChase · Houston, TX · Just now · 0 applicants
NewOn-siteFull-timeLead
Pay
Pay not listed
Workplace
On-site
Job type
Full-time
Level
Lead
Team: Corporate Technology Data Strategy & Architecture · Source: jobright · Posted by joined-scrapper

About the role

JPMorganChase is looking for a Senior Lead Software Engineer to lead the design, development, and operational stability of data-intensive software and production AI systems, with a focus on LLM-based applications and agentic systems. The role involves mentoring engineers, advancing secure engineering practices, and applying expertise in cloud-native, big data, and AI technologies in an onsite Houston position.

What you’ll do

  • Lead design, development, deployment, and operational stability of data-intensive software and production AI systems
  • Advance secure engineering practices within the organization
  • Mentor and coach engineers on engineering excellence and compliant AI usage
  • Set expectations for validating AI-assisted development outputs for correctness, performance, and security
  • Drive adoption of enterprise-authorized AI-assisted software development tools
  • Ensure application resiliency, security, and adherence to agile methodologies

What you’ll need

  • 5+ years applied experience with formal training or certification in software engineering
  • Hands-on experience building and shipping LLM-based applications and agentic systems in production
  • Advanced proficiency in Python and/or Java
  • Deep experience with large-scale data processing, microservices, API design, and event streaming (Kafka)
  • Working knowledge of relational/NoSQL databases, vector stores, and data lake architectures
  • Practical cloud-native engineering experience (AWS, Azure, or GCP)

Original job description

JPMorganChase is hiring a Senior Lead Software Engineer in its Corporate Technology Data Strategy & Architecture organization. The role leads the design, development, deployment, and operational stability of data-intensive software and production AI systems, while advancing secure engineering practices and mentoring engineers.Formal training or…

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