Quant DevOps Engineer

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

• Own and operate the application engineering platform, cloud infrastructure, and data execution environment for application and modeling workloads.
• Ensure 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.
• Act as a central technical interface between engineering teams, IT operations, security/SecOps, and data users.
• 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, including peak periods.
• Manage Azure cloud infrastructure, including virtual machines, storage, identity and access management (RBAC), and 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 maintaining delivery continuity.
• Design, maintain, and continuously improve CI/CD pipelines using Azure DevOps and related tooling.
• Build and evolve automation using scripting and build tools.
• Optimize pipeline performance, reliability, and parallel execution for 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. SaltStack).
• 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 SecOps 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 × 80-node clusters), memory-intensive systems (multi-terabyte RAM), and 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 SecOps, architecture and governance bodies, and service management processes.
• Coordinate platform-related work across teams.
• Support customer-facing technical discussions related to platform capabilities and constraints.

• Background in Insurance, Finance, or Scientific / High-Performance Computing environments.
• Strong experience in platform or DevOps engineering within production environments.
• Solid expertise in cloud infrastructure, preferably Microsoft Azure.
• Hands-on experience with CI/CD, Infrastructure as Code, and container platforms.
• Proven experience operating data-intensive and compute-heavy systems.
• Strong troubleshooting and operational mindset.
• Ability to manage and balance competing constraints: cost, performance, security, reliability.
• Deep understanding of platform stability, scalability, and automation.
• Senior-level autonomy and decision-making capability.
• Ownership mindset; accountable for outcomes rather than tasks.
• Ability to operate as a trusted senior technical interface across teams.

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

SCOR is a leading global reinsurer offering diversified and innovative reinsurance and insurance solutions and services to control and manage risk. With expertise in "The Art & Science of Risk," SCOR serves clients in around 160 countries worldwide and contributes to the welfare and resilience of society. The company culture, "The SCOR Way," is anchored by five core values: caring about clients, people, and societies; performing with integrity; acting with courage; encouraging open minds; and thriving through collaboration.

Working at SCOR means engaging with actuaries, data scientists, underwriters, risk modelers, engineers, and others to find solutions to pressing challenges facing societies.