Lead Specialty Software Engineer - E-Trading, Java, AI - Wells Fargo

Key Responsibilities

• Design and implement high‑performance Java services that ingest, process, and enrich trading data for the Low Touch Data Hub and related analytics platforms.
• Integrate AI and machine‑learning models into data pipelines to enable predictive insights and automated decision‑making for capital markets trading.
• Lead the migration of legacy systems to cloud‑native architectures, ensuring scalability, reliability, and security.
• Collaborate with data scientists, traders, and infrastructure teams to define data schemas, APIs, and real‑time streaming solutions.
• Mentor junior engineers, enforce best practices in code quality, testing, and CI/CD, and champion AI‑assisted engineering practices.

Requirements

• 5+ years of professional experience developing large‑scale, mission‑critical applications in Java.
• Strong background in data engineering concepts, including data pipelines, streaming, and storage technologies.
• Hands‑on experience deploying and operationalizing AI/ML models within production systems.
• Proficiency with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
• Excellent problem‑solving skills, ability to work cross‑functionally, and a track record of leading technical initiatives.