Software Engineer Principal

FIS Global•Atlanta, GA

11h•$148,310 - $249,160

About The Position

FIS is a global leader in financial technology, powering mission‑critical systems that help the world pay, bank, and invest. If you’re passionate about advancing the future of fintech and building transformative products used across the money lifecycle, we’d like to ask you: Are you FIS? About the team: Revenue Connect is FIS’s next‑gen cloud platform reinventing commercial pricing and billing for banks of all sizes. We're building from the ground up using AWS, modern UI/UX patterns, and event‑driven, API‑first services to eliminate decades of technical debt and deliver the speed, accuracy, and transparency banks expect. As a hands-on Principal Engineer, you’ll be a technical leader at the center of this transformation — shaping architecture, accelerating delivery, defining engineering excellence, and driving innovations that directly impact revenue, client experience, and operational resilience. You’ll work shoulder‑to‑shoulder with design, product, and engineering leadership to solve complex problems, deliver performant multi‑tenant services, expand into new deposit core integrations, and influence the roadmap of a flagship product on the bleeding edge of innovation. This is an opportunity to join early, build foundational capabilities, mentor the next wave of engineers, and leave your mark on a platform that is critical to FIS’s long‑term growth strategy. In 2026 we’re making AI a first‑class product capability and a force‑multiplier for engineering: you’ll lead the design and delivery of AI features (from embedding generative AI into statements or dashboards, intelligent anomaly and exception detection for billing accuracy, AI driven pricing and fee optimization advisor, conversational AI etc. possibilities are endless and so are our ambitions to differentiate this product in the market). Be responsible to set the technical strategy for safe, governed use of models and data, and upskill the team to use AI across the SDLC for faster, higher‑quality delivery

Requirements

At a minimum, a Bachelor's in CS or equivalent experience. Typical qualifications for the role are 10 or more years of relevant professional experience or a combination of work experience and advanced education.
Proven experience shipping AI‑enabled features in production: model‑driven decisions, anomaly detection, forecasting/optimization, or LLM‑powered experiences—plus MLOps practices
Proficiency in at least one modern development framework / language (e.g., Java).
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Expertise in at least one area relevant to our cloud-based financial platform (e.g., fintech, distributed systems, databases, security, or front-end).
Security, privacy, and compliance acumen for financial data (encryption, least‑privilege, secrets management, auditability) and AI safety
Experience with cloud platforms (AWS preferred) and distributed systems.
Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD).
Leadership and communication. Track record leading projects from architecture to production, influencing cross‑functional stakeholders, and mentoring engineers to raise the bar.

Nice To Haves

Proven ability to self-direct your technical work and scope projects effectively.
Experience leading and mentoring junior and mid-level engineers.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Deep expertise in at least one area relevant to our cloud-based financial platform (e.g., fintech, distributed systems, databases, security, or front-end).
Proficiency in modern development frameworks and languages. (e.g., Java).
A strong understanding of security best practices for building enterprise applications.
Prior work in fintech or billing/analysis systems, or large‑scale anomaly detection/optimization problems.
Hands‑on with GenAI/LLMs (RAG), vector stores, and guardrail frameworks; experience evaluating models (quality, safety, cost).

Responsibilities

Translate complex or ambiguous requirements into clean, maintainable, scalable, and well documented code.
Design, develop, and maintain software applications and systems that provide value to end-users.
Lead architecture & delivery for AI‑powered account analysis and billing.
Implement and optimize algorithms, data usage, and cloud services for latency, availability, and cost.
Debug and troubleshoot software issues to ensure business continuity, and a high bar for end-user experience.
Raise the engineering bar via rigorous code and design reviews that enforce maintainability, security, performance, and AI safety
Write unit & integration tests, implement observability, and comply with best practices for builds and deployment to ensure the quality and reliability of our platform.
Provide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future prevention.
Partner with cross-functional teams (engineering, product, design, security, compliance etc.) to bring ideas to life
Set and maintain high standards of technical excellence across the team. Mentor senior/junior engineers; introduce AI‑assisted development/testing patterns; help hire and develop a diverse, high‑performing team.