DevOps Engineer – Graph Platform
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The Graph Platform team is seeking an experienced DevOps engineer to help build and maintain enterprise-grade graph database infrastructure delivered as a service to the enterprise. Our platform enables data scientists, analysts, and investigators to leverage graph technology for advanced analytics, AI/ML applications, and complex relationship analysis.Scope & Impact Manage platform infrastructure serving multiple internal teams with sensitive financial regulatory data Drive both greenfield feature development and production incident response Own multi-environment deployment pipelines and strategies Balance security and compliance with platform usability and developer experience Author detailed technical reviews and architecture documentation.Required Skills 8+ years of DevOps experience in AWS including S3, EC2/Fargate, Lambda, EMR, CloudFormation Experience hosting and managing clustered Neo4j deployments across multiple environments Proven ability to deliver software-defined infrastructure, automated event handling, system-health dashboards, and CI/CD patterns for Jenkins and GitLab 5+ years of hands-on experience in Shell scripting, Python/Scala, Groovy Experience creating dashboards using Splunk, Grafana+Prometheus, or similar monitoring and observability tools Familiarity and comfort working in Agile software delivery environments Strong understanding of fundamental design principles for building modular, scalable, and resilient platforms Knowledge of secure coding principles and standardsNice to Have Understanding of infrastructure requirements for graph-powered AI applications, including RAG pipelines and knowledge graphs AWS Certifications