Quant DevOps Engineer

Overview

As Quant DevOps Engineer, you own the application execution platform, cloud infrastructure, and data runtime environment for engineering and modeling workloads. You ensure reliability, scalability, security, and cost efficiency across large, data-intensive systems such as Databricks clusters and high-memory configs. You serve as a central technical interface among engineering, IT, security, and data users, influencing delivery speed and platform stability. This senior role aligns with SCOR’s risk-focused mission and collaborative culture, offering meaningful impact on platform evolution and operational excellence.

Verantwortungsbereiche

• Own end-to-end delivery of the application execution platform and production model runs (Databricks, Servers)
• Manage Azure cloud infrastructure (VMs, storage, IAM) and networking (firewalls, peering, cross-subscription connectivity)
• Lead standardization with central teams on observability, security controls, platform services, and golden paths
• Design and maintain CI/CD pipelines using Azure DevOps; automate tooling and improve pipeline performance
• Oversee Docker image creation, lifecycle, and governance; optimize builds and container security
• Maintain Infrastructure as Code (Terraform) and configuration management (SaltStack) to reduce drift
• Operate observability platforms (ELK, Prometheus, Grafana); ensure metrics, logs, dashboards, alerts
• Collaborate with Security/SecOps on controls and findings; manage secrets and security tooling (Wiz, Snyk)
• Support Databricks usage for application workloads; participate in capacity planning for large clusters and memory-intensive data pipelines
• Act as senior escalation point for incidents; participate in on-call rotation; drive post-incident reviews and improvements
• Coordinate with IT Operations, Security, Architecture, and governance bodies; support customer-facing technical discussions

Zentrale Anforderungen

• Background in Insurance, Finance, or Scientific/High-Performance Computing environments
• Strong platform or DevOps engineering experience in production environments
• Solid Azure cloud expertise
• Hands-on CI/CD, Infrastructure as Code, and container platforms
• Proven experience operating data-intensive and compute-heavy systems
• Strong troubleshooting and operational mindset
• Ability to balance cost, performance, security, and reliability
• Senior autonomy and decision-making capability; ownership mindset
• Ability to act as a trusted senior technical interface across teams
• End-to-end platform ownership and delivery accountability for execution platform and production runs

• ownership mindset
• strong collaboration across cross-functional teams
• problem-solving under pressure
• Azure (VMs, storage, IAM)
• Databricks
• CI/CD (Azure DevOps)