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Lead Software Engineer - Java, Python and AI/ML

JPMorganChase

Salary not specified
Sep 1, 2025
Jersey City, NJ, US
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Enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way within JPMorgan Chase's Commercial and Investment Bank's Digital and Platform Services team.

Requirements

  • 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 languages such as Java, Scala, Python
  • 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.)
  • Experience with AI and ML techniques, including NLP techniques, working with LLMs, Generative AI, and coding assistants is required
  • Experience with messaging and streaming platforms, including AMQP, Kafka, Confluent Kafka, AWS MSK, Kinesis, Flink, Spark, etc is needed
  • Experience with data engineering solutions using AWS or Azure
  • Practical cloud-native experience; AWS Certifications (Solution Architect Associate or Professional) would be advantageous
  • Understanding of data stores for structured and unstructured data viz. data warehouses, lakes, lakehouses

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
  • 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

Other

  • Adds to team culture of diversity, opportunity, inclusion, and respect