Consult with inquiring teams on how to leverage Kafka within their pipelines
Architect, Build and Support existing and new Kafka clusters via IaC
Partner with Splunk teams to route trac through Kafka by utilizing open-source agents and collectors
deployed via ChefRemediate any health issues within Kafka
Automate (where possible) any operational processes on the team
Create new and/or update monitoring dashboards and alerts as neededManage a continuous improvement / continuous development (CI/CD
pipelinePerform PoCs on new components to expand/enhance teams Kafka oerings
Preferred Qualifications Knowledge and experience with Splunk, Elastic, Kibana and GrafanaKnowledge and experience with log collection agents such as Open-Telemetry, Fluent Bit,
FluentD, Beats and LogStash.Knowledge and experience with Kubernetes / Docker Knowledge and experience with Kafka-Connect Knowledge and experience with AWS or Azure Knowledge and experience with Streaming Analytics
Mandatory Skills: API Microservice Integration. Experience: 5-8 Years.
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Data Platform Engineer Employement Type: Full time