Associate, Quantitative DevOps Engineer

Overview As a Quantitative DevOps Engineer, you will enable robust data-driven workflows within a cloud-focused investment analytics platform. You’ll partner with researchers, data engineers, and IT to design, deploy, and maintain CI/CD pipelines and Azure-based environments that support development through production. Your work boosts development speed, system reliability, and operational excellence across the organization. This role offers a hands-on, collaborative path at a data-centric, high-impact firm with a strong focus on automation and modern DevOps practices. Compensation / Benefitshybrid work arrangementremote workdays policydiscretionary annual bonuscomprehensive total rewards package ResponsibilitiesBuild and maintain CI/CD workflows across development, testing, and production environmentsProvide DevOps and automation expertise to improve data-centric applicationsMaintain and optimize Microsoft Azure cloud environmentsAdminister Git-based source control with branching and promotion practicesDevelop and manage infrastructure-as-code solutions for cloud resourcesLeverage containerization (Docker or Podman) for standardized deploymentsEnforce configuration management and security aligned with enterprise standardsProvide production support including incident triage and root-cause analysisCollaborate with data engineers, researchers, product and platform teams on high-complexity initiativesContribute to ongoing improvement of DevOps standards, tools, and processes Key requirements6 years of DevOps experience in cloud-based software deliveryExperience in financial services or investment management preferredGit-based repository management with branching and versioningCI/CD pipeline development and deployment automationStrong scripting in Bash, Python, or PowerShellKnowledge of Snowflake and data platform ecosystemsIaC experience with Microsoft AzureProficiency with Docker or PodmanExperience supporting production environments and incident resolutionExcellent communication with technical and non-technical stakeholdersHigh energy and collaborative work styleStrong communication (verbal and written)Problem-solving under pressureCI/CD pipelinesGit-based version controlAzure cloud infrastructure