At Scopd.net, we are building a next-generation open-source based SIEM solution tailored for commercial use. Our goal is to deliver powerful and flexible security monitoring tools to clients without the complexity of traditional enterprise SIEMs.
We are looking for a hands-on engineer who will grow into a key expert in deploying and supporting our SIEM platform for clients. This is a unique opportunity to learn deeply, work closely with customers, and shape a critical part of our product delivery.
Responsibilities
- Deep-dive into the SIEM ecosystem: learn its architecture, features, and practical use cases
- Install, configure, and maintain SIEM environments (test and production) on Linux and Windows systems
- Simulate security incidents and infrastructure behavior to test detection capabilities
- Integrate the platform with log sources, endpoints, cloud systems, and third-party tools
- Customize detection rules, alerts, and dashboards based on customer requirements
- Analyze and fine-tune system performance to reduce false positives and improve visibility
- Document setup processes, best practices, and customer deployment guides
- Support installations on customer environments (remotely)
- Provide post-deployment technical mentoring and onboarding for customers
- Collaborate with the product team to validate new features and suggest improvements
- Contribute to internal knowledge sharing (documentation, tutorials, internal wikis)
- Help with DevOps tasks like CI/CD pipelines, automation, and containerization

Requirements
- Must-have (can be entry-level):
- Familiarity with Linux systems and the command line
- Understanding of log formats, syslog, and basic networking protocols (TCP/IP, DNS, HTTP)
- Interest in cybersecurity, infrastructure, or monitoring systems
- Willingness to learn and grow into a technical customer-facing role
- Good English communication skills (verbal and written)
- Nice-to-have (or to be learned on the job):
- Experience with Elasticsearch, Kibana, or similar tools
- Scripting skills (Bash or Python)
- Familiarity with containers (Docker) and cloud platforms (e.g., GCP, AWS)
- Previous experience with monitoring or security products (Zabbix, Splunk, Snort, etc.)

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