Senior Cloud Systems Engineer

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Linux Systems Admin
  • SaaS infrastructure
  • Kafka
  • RabbitMQ
  • Elasticsearch
  • Cloudera
  • Puppet
  • F5 BIG-IP
  • NGINX
  • DNS
  • Python
  • Bash
  • JavaScript
  • MySQL
  • Oracle
  • PostgreSQL
  • MariaDB

Summary

<>Senior Cloud Systems Engineer (Linux Systems Admin)
Job Summary

We are seeking a Senior Cloud Systems Engineer to support and optimize large-scale global SaaS infrastructure. This role focuses on Linux administration, automation, cloud operations, production support, and infrastructure reliability.

Responsibilities
  • Administer and support large-scale Linux/cloud infrastructure.
  • Develop automation and tools using Python, Bash, or JavaScript.
  • Manage Infrastructure as Code and Configuration Management.
  • Support server provisioning, patching, maintenance, and automation.
  • Troubleshoot complex production issues across systems, databases, networks, and applications.
  • Participate in incident response, escalations, and Root Cause Analysis.
  • Support technologies including Kafka, RabbitMQ, Elasticsearch, Cloudera, Puppet, F5 BIG-IP, NGINX, and DNS.
  • Partner with engineering teams on production readiness, testing, and infrastructure improvements.
MUST HAVE
  • Expert-level Linux Systems Administration/Engineering.
  • Experience with large-scale production or cloud infrastructure.
  • Strong Python, Bash, JavaScript, or Perl scripting.
  • Experience with Ansible, Puppet, Chef, CFEngine, or similar configuration management tools.
  • Knowledge of Infrastructure as Code / automation.
  • Strong troubleshooting skills across Linux, databases, networks, and applications.
  • Experience with MySQL, Oracle, PostgreSQL, or MariaDB.
  • Understanding of routing, switching, DNS, and load balancing.
  • Experience with monitoring/logging tools such as Splunk, Nagios, Icinga, or Logstash.
  • Strong communication and production support skills.\
  • SRE/DevOps experience.
  • F5 BIG-IP, NGINX, Kafka, RabbitMQ, Elasticsearch, or Cloudera experience.
  • Experience supporting global, highly available SaaS environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10439527
  • Position Id: 9078824
  • Posted 3 hours ago
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