Apache Druid + Trino + DevOps + Python Demand

• Apache Druid

• Cluster setup, configuration, and production operations
• Real-time and batch ingestion (Kafka, streaming tasks, indexing services)
• Segment management, compaction, retention, and query optimization
• Troubleshooting performance and availability issues

• Trino

• Cluster deployment and tuning for large-scale distributed queries
• Connector configuration (Hive, Iceberg, Delta Lake, JDBC, etc.)
• Query optimization, memory management, and workload isolation
• Security configuration (authentication, authorization, access control)

• Strong proficiency in Python for automation and backend services
• Writing clean, maintainable, production-grade code
• Building tooling for deployment, monitoring, and operational workflows
• Experience with REST APIs, scripting, and data processing libraries

DevOps & Platform Engineering

• Containerization & Orchestration

• Docker image creation and optimization
• Kubernetes deployment, scaling, and troubleshooting
• Helm charts and Kubernetes operators (preferred)

• Infrastructure & CI/CD

• Infrastructure as Code using Terraform, CloudFormation, or similar
• CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD, etc.)
• Blue-green and rolling deployment strategies

• Cloud Platforms

• Hands-on experience with AWS, Google Cloud Platform, or Azure
• Networking, storage, and compute optimization for data workloads
• Cost monitoring and optimization

Observability & Operations

• Monitoring and alerting using Prometheus, Grafana, ELK, OpenTelemetry, or similar
• Log aggregation, metrics, and distributed tracing
• Incident management, root cause analysis, and postmortems
• Capacity planning and performance benchmarking