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FIS is seeking a Principal Software Engineer for its Revenue Connect team, tasked with building a next-generation cloud platform for commercial pricing and billing in the financial sector. The role involves significant leadership responsibilities, including architecture design, AI feature development, and mentoring junior engineers.
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Job Summary
This role involves leading the architecture and delivery of AI-powered account analysis and billing systems for a next-generation cloud platform.
The team is building foundational capabilities from the ground up using AWS to eliminate technical debt and drive revenue growth for banks.
Candidates will mentor engineers, enforce high standards of technical excellence, and participate in live on-call support rotations.
Matching Summary
Match Score: 75
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FIS is seeking a Principal Software Engineer for its Revenue Connect team, tasked with building a next-generation cloud platform for commercial pricing and billing in the financial sector. The role involves significant leadership responsibilities, including architecture design, AI feature development, and mentoring junior engineers.
**
Salary
Base: $148,310.00 - $249,160.00; Bonus/Equity: Not specified; Benefits: Competitive salary and benefits package including flexible work environment
Skills & Requirements
Must-have
10+ years professional experience
Production AI-enabled features deployment
AWS cloud platform expertise
Java development framework proficiency
Distributed systems architecture design
Fintech security and compliance acumen
MLOps practices implementation
Nice-to-have
GenAI and LLM RAG experience
Vector stores and guardrail frameworks
Self-directed technical project scoping
Mentoring junior and mid-level engineers
Billing or anomaly detection domain knowledge
Conversational AI feature development
Key Requirements
Bachelor's degree in CS or equivalent experience
10 or more years of relevant professional experience
Proven track record shipping AI features in production
Expertise in Java or modern development frameworks
Deep understanding of financial data security and privacy