1. 6m contract – with possible extension
2. Hybrid working – 3 days in office (mandatory)
3. Day rate or FTC salary options available
An interesting opportunity for an experienced Applications Engineer with knowledge and application of Quantum, Cloud Computing, Linux and/or VDI.
Our client, an established and reputable IT Consultancy provider, seeks for an Application Engineer well versed in data source analysis, operating systems and a subject matter expert in Splunk.
Idea candidate will:
4. Have a background in Desktop Support or Desktop Engineering
5. Come from a technical background with Windows Operating Systems, MacOS/ iOS, Linux etc
6. Understand Pandas and SparkStrong written and verbal communication skills & relationship building skills
7. Extremely detail orientated and capable of working in a timely manager
Roles and Responsibilities:
8. Expert in creating custom dashboards and alerts
9. SME in creating, developing, and running reports in Splunk
10. Analysis of data sources for efficacy and efficiency, provided insights to optimize ingestion and data parsing/normalization.
11. Analysis of Operating Systems (Windows, Linux, macOS, etc.), Network Devices (firewall, routers, etc.), Applications and provide recommendations and/or implement solutions to optimize quality of service.
12. Design/implement monitoring solutions
13. Add customer context, analyze data to detect false positives, develop trends and data models
14. Produce customized alerts, dashboards, and reports to track performance metrics.
15. Develop and optimize search queries, alerts, reports and dashboards for performance and scalability.
16. Query Splunk and other data sources to surface trends indicative of issues with underlying infrastructure or application
17. Validate log sources and indexed data, search through data to optimize search criteria
18. Document all actions taken as a part of investigations and working closely with other teams support the problem management process
Position Requirements:
19. Relevant experience 2+ years with Splunk and familiar with uberAgent
20. Capabilities in Pandas and SparkStrong
21. Incident and problem management
22. Windows Operating Systems, MacOS/ iOS, Linux
23. Capabilities in identifying false positives, develop trends and data models