Kafka Architect Minneapolis, MN (Remote)

Role –  Kafka Architect
Location – Minneapolis, MN (Remote)

Hire Type: Contract 

Mandatory Skills – DevOps, Kafka,Splunk , Ansible, Grafanna
Responsibilities:
• 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 traffic through Kafka by utilizing open-source agents and collectors
• deployed via Chef
• Remediate any health issues within Kafka
• Automate (where possible) any operational processes on the team
• Create new and/or update monitoring dashboards and alerts as needed
• Manage a continuous improvement / continuous development (CI/CD) pipeline
• Perform PoC’s on new components to expand/enhance team’s Kafka offerings

Skills & Qualifications:
• 5+ years of experience with Kafka clustering & administration
• 5+ years of experience building, deploying, and supporting multiple Kafka clusters using IaC (Infrastructure-as-Code) best practices
• Experience developing automated processes within and around Kafka to help supplement the service
• Experience working with multiple teams to build and architect data pipeline solutions where Kafka will be involved.
• Experience with Linux/Unix and system management
• IaC (Infrastructure-as-Code) experience with Virtual/Physical Servers using Chef, Ansible, Jenkins, Artifactory, etc.
• Understanding of Git workflows, continuous improvement / continuous development (CI/CD) concepts
• Strong verbal and written communication skills
• Strong technical acumen
• Strong analytical skills
• Experience working in Agile/Lean methodologies

Preferred Qualifications:
• Knowledge and experience with Splunk, Elastic, Kibana and Grafana
• Knowledge 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