Lead Software Engineer - Java / Flink

Wells Fargo

Not specified; not specified; not specified
**
5+ years software engineering experience
Java spring boot microservices architecture
Apache flink large-scale data processing
** Wells Fargo is seeking a Lead Software Engineer with extensive experience in Java and distributed data processing technologies like Apache Flink. The role involves leading technology initiatives, developing standards, and mentoring junior engineers while working onsite. **

Job Summary

  • This role involves leading complex technology initiatives with broad company-wide impact while establishing engineering standards and best practices.
  • The successful candidate will architect and optimize batch processing workflows using Apache Flink and develop data storage solutions on S3 integrated with Apache Iceberg.
  • Candidates must demonstrate deep expertise in Java, Spring Boot, and microservices architectures with a proven ability to drive product development end-to-end.

Matching Summary

Match Score: 75

** Wells Fargo is seeking a Lead Software Engineer with extensive experience in Java and distributed data processing technologies like Apache Flink. The role involves leading technology initiatives, developing standards, and mentoring junior engineers while working onsite. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • Java Spring Boot microservices architecture
  • Apache Flink large-scale data processing
  • Apache Iceberg Amazon S3 Lakehouse technologies
  • Cloud platform experience GCP or Azure

Nice-to-have

  • Python programming language expertise
  • LLM ecosystem prompt engineering RAG MCP
  • Data migration legacy to cloud-native strategies
  • Team leadership and peer mentorship skills
  • Cross-functional collaboration with data scientists

Key Requirements

  • 5+ years of Software Engineering experience
  • 12+ years preferred with deep Java expertise
  • Experience leading teams or projects in data engineering
  • In-office work adherence required per policy

Work Rights

Not specified

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