Quant DevOps Engineer

The Quant DevOps 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 endtoend reliability scalability security performance and cost efficiency of the platform supporting largescale dataintensive and computeheavy workloads such as parallel Databricks clusters and highmemory 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/SecOps and data users. It is a senior ownership role with significant impact on delivery speed platform stability and infrastructure cost.

Platform & Infrastructure Ownership

• 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 crosssubscription connectivity
• Lead standardization with central teams across observability security controls platform services and golden paths while keeping delivery running
• Ensure platform reliability scalability and longterm sustainability

CI/CD & Automation

• 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 to support largescale workloads

Container & Runtime Management

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

Infrastructure as Code & Configuration Management

• 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

Observability Security & Secrets

• 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

Data Platform & Capacity Planning

• 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 largescale data and compute workloads
• Lead capacity planning for:
  • Highly parallel Databricks clusters (e.g. up to 10 80node clusters)
  • Memoryintensive systems (multiterabyte RAM)
  • Data pipelines producing terabytes of data
• Balance performance reliability and cost across platform decisions

Operations & Incident Response

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

CrossTeam & Organizational Coordination

• Serve as primary technical contact for:
  • IT Operations
  • Security and SecOps
  • Architecture and governance bodies
  • Service management processes
• Coordinate platformrelated work across teams
• Support customerfacing technical discussions related to platform capabilities and constraints

Experience

• Background in Insurance Finance or Scientific / HighPerformance Computing environments
• Strong experience in platform or DevOps engineering within production environments
• Solid expertise in cloud infrastructure preferably Microsoft Azure
• Handson experience with CI/CD Infrastructure as Code and container platforms
• Proven experience operating dataintensive and computeheavy systems

Technical Competencies

• Strong troubleshooting and operational mindset
• Ability to manage and balance competing constraints:
  • Cost
  • Performance
  • Security
  • Reliability
• Deep understanding of platform stability scalability and automation

Professional Competencies

• Seniorlevel autonomy and decisionmaking capability
• Ownership mindset; accountable for outcomes rather than tasks
• Ability to operate as a trusted senior technical interface across teams