Data Systems Engineer at Netskope (Remote)
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and [email protected]
- Deploy data systems using automation
- Help manage the lifecycle of data systems automation including alterations as necessary
- Troubleshoot automation, including on production systems during incidents or other impacting issues as needed
- Coordinate deployment activities across multiple teams
- Participate in the development of new automation
- Bachelor's degree in related subjects or 2+ years of experience in a related role
- Shell(BASH)/Python scripting
- Configuration Management experience (E.G. Ansible, Puppet, SALT)
- 2+ years of Linux systems administration or systems engineering experience
- 1+ years of experience with one or more open source database technologies
- Prior experience working remotely
- Experience with
- SALT or Ansible
- OpenStack as a user
- Redis, MongoDB, MariaDB/MySQL, ScyllaDB, Kafka, Zookeeper, ClickHouse, Yugabyte
- HAProxy
- Zabbix, Elastic Stack (ELK), Prometheus
- Google’s suite of Cloud solutions
- JIRA and Confluence
Education:
- Bachelor’s Degree or higher in Computer Science, Engineering, or combination of comparable education and experience typically obtained by 5 or more years related work experience.
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