Apache Druid + Trino + DevOps + Python Demand

Overview In this role you will shape data infrastructure and operations for large-scale analytics. You’ll oversee production Apache Druid clusters and support real-time and batch ingestion to unlock fast, reliable analytics. You’ll also deploy and tune Trino for complex queries, while building Python-based tooling for deployment, monitoring, and automation. Collaborating with platform and data teams, you help maximize reliability, performance, and cost efficiency in a cloud-native environment. ResponsibilitiesManage production Apache Druid clusters: ingestion, segment management, and query optimizationDeploy and tune Trino for large-scale distributed queries, including connectors and securityDevelop Python tooling for automation, deployment, monitoring, and data workflowsContainerization and orchestration: Docker, Kubernetes, scaling, and troubleshootingInfrastructure as Code and CI/CD: Terraform/ CloudFormation; CI/CD pipelines; blue-green/rolling deploymentsCloud platform work: optimize compute/storage/networking and cost across AWS/GCP/AzureObservability and incident response: monitoring, alerting, tracing, postmortems, capacity planning Key requirementsApache Druid expertise (production operations)Trino cluster deployment and tuningPython proficiency for automation and backend servicesKubernetes and containerization experienceCI/CD and IaC tooling (Terraform/CloudFormation)Cloud platforms exposure (AWS/GCP/Azure)Observability and incident management experienceCross-functional collaborationProblem-solvingCommunicationApache DruidTrinoKafka