Fin-X

DevOps Engineer

• Ensure the stability, governance, and evolution of Fin‑X's infrastructure.
• Take technical ownership of Infrastructure as Code.
• Manage and evolve Fin‑X's cloud environments, currently using Azure as the primary platform with growing use of GCP.
• Operate and enhance modernized CI/CD pipelines.
• Take full ownership of production monitoring.
• Act as the technical reference for cloud security.
• Support the team when applications experience failures or downtime.
• Propose practical improvements to reduce rework and time waste.

DevOps, Cloud Engineer

Frontend Engineer

• Fin-X is transforming how hospitals, clinics and payers manage their processes. Our innovative solutions cover surgical scheduling, physician compensation, and more, helping the sector gain efficiency, reduce costs and improve the experience for healthcare professionals and patients. We are looking for a Mid-level Front-End Developer to join our technology team and contribute to the ongoing evolution of our digital solutions.

Front-End Developer, Mid-level

Consultant

• Conduct training for reception staff, physicians, and back-office teams (in-person and remote)
• Prepare and configure the client environment for implementation
• Support the Go-Live and ensure post-implementation stabilization
• Notify clients and internal teams in advance about stages and deadlines
• Update and manage activities in Jira, keeping projects tracked
• Create user accounts and perform technical pre-deployment tasks
• Provide initial client support (via WhatsApp) before escalating to Customer Success
• Follow up on billing and validate tests
• Act as a point of contact across multiple client levels: directors, managers, and operations teams

Mid-level Implementation Consultant

Data Scientist

• Evolve and lead Fin-x's Data, Analytics, BI, and AI strategy.
• Advance the data architecture and the company's analytics layer.
• Organize and prioritize the data and AI roadmap in partnership with Product, Engineering, Operations, and executive leadership.
• Improve dashboards, metrics, and analytical products to make them simpler, more reliable, and decision-focused.
• Identify, prioritize, and implement AI use cases that deliver real business and customer operational impact.
• Lead applied AI initiatives for automation, recommendation, classification, decision support, and insight generation.
• Ensure data governance, quality, security, and traceability.
• Establish standards and processes, and, as the company grows, build out the team for the area.
• Serve as an internal reference for the strategic use of data and AI.

DevOps, Cloud Engineer

Front-End Developer, Mid-level

Mid-level Implementation Consultant

Data and AI Lead