Lead Java Backend Engineer: Secure, Scalable Systems

JPMorganChase

Seattle (WA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary
Comprehensive health coverage
On-site health and wellness facilities
Retirement savings plan
Tuition reimbursement
Mental health support
Financial coaching

Job summary

JPMorgan Chase in Seattle is seeking a Lead Software Engineer to design, develop, and troubleshoot secure software components within the Merchant and Fraud Prevention team. You will contribute to scalable technology solutions across data pipelines and backend services.

You will work in an agile environment, applying SDLC best practices, and responsibly use AI-assisted coding tools to improve quality while maintaining security standards.

Qualifications

  • 5+ years of software engineering experience
  • Experience building production data or streaming systems
  • Proficiency in Java, Scala, or Python for backend and data processing
  • Experience with SDLC and agile practices
  • Experience with enterprise-grade tooling and large codebases
  • Familiarity with AI-assisted development tools and secure coding practices

Responsibilities

  • Executes standard software solutions, design, development, and troubleshooting
  • Writes secure, high-quality code with limited guidance
  • Designs and troubleshoots with system-wide impact in mind
  • Uses SDLC tooling to automate and improve value
  • Performs data analysis to identify issues and aid decision-making
  • Learns and applies secure development practices and processes
  • Leverages AI coding assist tools while ensuring code quality through reviews and tests

Skills

Java
Scala
Python
CI/CD
Security
Data processing
AI coding assist tools
Secure coding

Education

Formal training or certification in software engineering

Tools

Flink
Spark
Feast

Job description

JPMorgan Chase in Seattle is seeking a Lead Software Engineer to design, develop, and troubleshoot secure software components within the Merchant and Fraud Prevention team. You will contribute to scalable technology solutions across data pipelines and backend services.

You will work in an agile environment, applying SDLC best practices, and responsibly use AI-assisted coding tools to improve quality while maintaining security standards.

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