July 10
• Provide support for standard and custom deployments • Answer break/fix and non-break-fix technical questions • Efficiently reproduce reported issues and provide solutions • Open bug reports and feature requests • Provide upgrade support upon customer request • Conduct technical check-ins with each BU • Discuss open support tickets • Responsible for ensuring customer environments are on supported LTS versions • Knowledge exchange and technical enablement • Contribute to reference documentation • Lead peer training • Consultant to content teams • Own personal technical education journey • Contribute to departmental and cross-functional initiatives • Provide feedback to management
• Bachelors Degree in Computer Science, Mathematics, Engineering, or a related field • 5+ years of support experience • 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience • Big Data (Hadoop, Data Lakes, Spark) • Docker and Kubernetes • Cloud technologies (AWS, Azure, GCP) • Security - Authentication (LDAP, OAuth2.0) and Authorization technologies • SSL/TLS • Linux Skills • DBMS Concepts/SQL Exposure Languages: SQL, Java, Python, Bash
• 11 paid holidays • Generous Paid Time Off • Annual day of service
Apply NowJuly 9
51 - 200
🇺🇸 United States – Remote
💵 $97k - $121k / year
💰 $100M Series B on 2022-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
📞 Support Engineer
July 4
11 - 50
🇺🇸 United States – Remote
💰 $2M Post-IPO Equity on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
📞 Support Engineer