Devops Engineer - Remote / Telecommute

  • Minneapolis, MN
  • Posted 7 hours ago | Updated moments ago

Overview

Remote
On Site
Hybrid
$$55hr
Contract - W2
Contract - 1 day((s))

Skills

DevOps Engineer

Job Details

Job Description:

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 tra c 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 o erings.
Skills and Qualifications:
  • 2+ years of experience with Kafka clustering & administration.
  • 2+ 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.
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