Quant DevOps Engineer

The Quant Dev Ops Engineer responsible for the reliability, scalability, security, and cost efficiency of large scale, data intensive cloud workloads.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity.

We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

The Quant Dev Ops Engineer owns and operates the application engineering platform, cloud infrastructure, and data execution environment that application and modeling workloads depend on.
The role is accountable for the end-to-end reliability, scalability, security, performance, and cost efficiency of the platform, supporting large-scale, data-intensive and compute-heavy workloads such as parallel Databricks clusters and high-memory systems.
This position requires broad and deep technical expertise, strong operational judgment, and the ability to act as a central technical interface between engineering teams, IT operations, security/Sec Ops, and data users. It is a senior ownership role with significant impact on delivery speed, platform stability, and infrastructure cost.

• End-to-end ownership and delivery accountability for the application execution platform and production model runs (Databricks, Servers).
• Day-to-day operational responsibility: availability, incident handling, runtime management, and delivery continuity for business-critical runs (incl. peak periods like YE).
• Manage Azure cloud infrastructure, including:
  • Virtual machines, storage, identity and access management (RBAC)
  • Networking components such as firewalls, peering, and cross-subscription connectivity
• Lead standardization with central teams across observability, security controls, platform services, and "golden paths," while keeping delivery running
• Ensure platform reliability, scalability, and long-term sustainability

• Design, maintain, and continuously improve CI/CD pipelines using Azure Dev Ops and related tooling
• Build and evolve automation using scripting and build tools
• Optimize pipeline performance, reliability, and parallel execution to support large-scale workloads

• Own Docker image creation, lifecycle management, and governance
• Optimize build processes, caching strategies, and container security
• Support containerized execution environments for compute-heavy workloads and services

• Maintain and evolve Infrastructure as Code using Terraform
• Operate and improve configuration management systems (e.g. Salt Stack)
• Reduce configuration drift and improve reproducibility across environments

• Own and operate observability platforms (e.g. ELK, Prometheus, Grafana)
• Ensure meaningful metrics, logs, dashboards, and alerting are in place
• Manage secrets and platform security tooling (e.g. Wiz, Snyk)
• Collaborate closely with Security and Sec Ops teams on controls, findings, and improvements

• Configure/support Databricks usage for application workloads; manage workspace-level configuration/permissions as delegated; partner with central Databricks lead for global administration and optimization.
• Support large-scale data and compute workloads
• Lead capacity planning for:
  • Highly parallel Databricks clusters (e.g. up to ~10 x 80-node clusters)
  • Memory-intensive systems (multi-terabyte RAM)
  • Data pipelines producing terabytes of data
• Balance performance, reliability, and cost across platform decisions

• Act as senior escalation point for platform and infrastructure incidents
• Participate in a limited on‑call rotation
• Investigate incidents and execute or coordinate remediation
• Perform manual interventions when automation is insufficient
• Drive post‑incident reviews and platform improvements

• Serve as primary technical contact for:
  • IT Operations
  • Security and Sec Ops
  • Architecture and governance bodies
  • Service…