Top Tech Jobs & Startups Jobs

The Sales Executive Senior will engage with C-suite executives in FIS’s top accounts, act as a subject matter expert on FIS solutions, lead sales calls, analyze data, prepare presentations, and structure deals to support clients in achieving their goals and grow FIS's business.

As a Senior Technical Program Manager, you will manage multiple complex projects, provide technical leadership for software applications, coordinate with various teams to drive innovative financial solutions, and mentor technical staff. Communication with exec-level stakeholders and managing delivery risks are key responsibilities.

The Senior Software Development Engineer II will design, develop, and maintain a new financial technology platform. Responsibilities include translating requirements into code, optimizing algorithms, troubleshooting software issues, conducting code reviews, and mentoring junior engineers. The role requires collaboration with cross-functional teams and providing on-call support.

As a Software Engineer Specialist, you will design, program, and modify software for innovative fintech products. You'll interact with product managers to define requirements, participate in design meetings, and work closely with other teams to enhance financial systems.

Prepare, review, and file tax compliance reports, maintain knowledge of tax laws, investigate discrepancies, assist with audits, and communicate effectively with leadership.

The Staff Software Engineer will build a new financial technology platform, translating user and business needs into clean and scalable code. Responsibilities include defining technical strategy, leading projects, fostering team knowledge sharing, influencing design decisions, collaborating with cross-functional teams, and ensuring code quality through reviews. They will also provide on-call support and address production issues with long-term solutions.

The Senior Data Scientist will develop and lead machine learning and statistical efforts to address business challenges, analyze large datasets for trends and anomalies, and collaborate with stakeholders to deliver data-driven solutions. Responsibilities include creating ML models and enhancing data processes.