Job Description
About FIS
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the team
The Enterprise Data & AI (EDAI) team drives the modernization and intelligence of FIS’s global data ecosystem, enabling the company to securely ingest, process, govern, and activate data at scale.
The team builds and operates the platforms that power advanced analytics, machine learning, and AI-driven insights, partnering closely with engineering, product, and business stakeholders to deliver high-quality, reliable, and compliant data solutions.
With a focus on automation, standardization, and platform excellence, EDAI ensures that FIS teams across the enterprise can access trusted data and leverage cutting-edge AI capabilities to accelerate innovation and achieve measurable business outcomes.
What you will be doing
This role sits within Enterprise Data and will lead Site Reliability Engineering for three distinct platforms that power data across FIS: the Corporate Data Lake (CDL), the Cloud Data Platform (CDP), and the Enterprise Data & AI Platform (EDAI). You will own platform reliability across ingestion, processing, warehousing, governance, access, and business consumption — with a strong focus on automation, compliance, and operational excellence.
- Own end‑to‑end platform reliability for CDL (Azure), CDP (AWS + Astronomer + Snowflake), and EDAI (Azure + Fivetran + Databricks + Snowflake).
- Cross‑Platform (All Three)
- Lead 24x7 incident response, post‑incident reviews, and continuous improvement; maintain on‑call structures and runbooks.
- Define and manage SLAs/SLOs, error budgets, and operational standards for ingestion, processing, warehousing, and consumption layers.
- Implement automation for deployments, monitoring, scaling, recovery, and change management.