Kafka Migration Developer
2 days ago
Job Summary:
- Kafka & Migration Developer to help with an ongoing migration from Splunk to Grafana.
- Strong Kafka experience - understand architecture
- Grafana experience - Splunk nice to have but not necessary since they are moving away from it
- Experience building/managing dashboards
- Deployments done through terraform (more critical skillset)
- Hands on python & Kubernetes experience
Core Skillets Required (Must have):
- Kafka: Expertise in Kafka architecture, producers, consumers, topics, partitions, and Kafka Streams.
- Grafana:Experience building and managing dashboards, panel customization, and alerting in Grafana.
- Splunk: Strong knowledge of Splunk for log ingestion, querying (SPL), and dashboard creation.
- Terraform: Infrastructure as Code (IaC) for provisioning and managing Kafka clusters, Grafana, and other resources.
- Python: Proficient in Python scripting for automation, data processing, and integration tasks.
Recommended Additional Skills & Tools:
- Kafka Ecosystem: Kafka Connect, Kafka Streams or ksqlDB, Schema Registry, Confluent Platform
- Observability & Monitoring: Prometheus (metrics collection), OpenTelemetry (distributed tracing), ElasticSearch/Logstash/Beats (log processing), Alertmanager, Grafana Alerting
- Cloud & Infrastructure: Kubernetes (deployment & orchestration), Helm (package management), AWS/Azure/GCP cloud services related to Kafka and monitoring
- Dashboard & Visualization: Grafana Loki (log aggregation), JSON/YAML for dashboard templating, API usage for automation
- Data Processing & Scripting: Advanced Python libraries (e.g., Pandas), Bash/PowerShell scripting for automation
- Security & Compliance: Kafka security (SSL, SASL, ACLs), securing data pipelines and observability infrastructure
- Version Control & CI/CD: Git workflows, Jenkins/GitLab CI/GitHub Actions for automated deployment pipelines
- Performance & Troubleshooting: Kafka performance tuning, troubleshooting, Grafana dashboard optimization
Additional Notes:
- Experience with containerization and orchestration (Docker, Kubernetes) is highly valuable for deploying scalable Kafka and Grafana environments.
- Familiarity with monitoring frameworks and distributed tracing will improve observability during migration.
- Strong automation skills help reduce manual effort in dashboard migration and infrastructure provisioning.
- Understanding security best practices ensures data integrity and access control across Kafka and observability stacks.
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