North Point Technology
DevOps / Systems Operations Engineer (Top Secret Clearance
Herndon, Virginia, United States
No sponsorshipDetected 1 day ago
TypeScriptPythonBashPostgreSQLAWSLinuxDevOpsCybersecurityCustomer SupportNetwork MonitoringGISCommunication
About the role
- This position involves day-to-day system operations supporting the GVS environment.
- At North Point Technology, EMPLOYEES come first!
- Apply with North Point Technology today!
Responsibilities
- Duties will include security scanning, patch management, and on-call support, as well as liaising with the customer, subcontractors, and internal teams to ensure compliance with contractual performance metrics.
Requirements
- Systems and operations experience
- Proficiency with Linux (Red Hat), PostgreSQL, AWS, and Apache
- For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.
- Active Top Secret (TS) security clearance to start; TS/SCI preferred
- BS in a technical discipline (or equivalent)
Nice to have
- Help desk and technical customer service background
- Automation and scripting (Python, Bash)
- Monitoring tools such as Zabbix, Matomo, or ELK
- GIS visualization tools (Google Earth, ArcGIS, OpenLayers, Cesium)
- Excellent communication and interpersonal skills
- The qualified candidate must have an active Top Secret (TS) security clearance to start, with TS/SCI preferred, and will provide day-to-day system operations, security scanning, patch management, and on-call support.
- TS/SCI preferred
- Active Top Secret (TS) security clearance to start
Compensation
- We value our employees by providing excellent compensation, benefits, and a flexible work-life balance.
Visa & Work Authorization
- The qualified candidate must have an active Top Secret (TS) security clearance to start, with TS/SCI preferred, and will provide day-to-day system operations, security scanning, patch management, and on-call support
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This listing is sourced directly from North Point Technology's careers page and normalized into a canonical job model.