Threat Detection Engineer – Security Operations
USD 113K-140K Entry-level Full Time
Tasks
- Apply AI security literacy to detect AI threats
- Build AI augmented detection pipelines
- Build scalable detection rules analytics and anomaly models
- Collaborate with threat intelligence and incident response to translate TTPs into detections
- Create detection as code using Python and YAML based formats
- Deploy detections using infrastructure as code and GitOps
- Design LLM assisted detection and triage workflows
- Develop detection logic for SIEM and SOAR
- Participate in detection tuning red team blue team and post incident reviews
- Support 24x7 incident response on-call
- Use Snowflake and SQL to normalize and query telemetry data
- Validate and tune alerts to reduce false positives
Perks/Benefits
- 24x7 on-call rotation
- 401k match
- Employee assistance program
- Learning and development benefit
- Medical/Dental/Vision insurance
- Paid time off
- Parental leave
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | CI/CD | Clustering | Data exfiltration | Data poisoning | Elastic Stack | Embeddings | GitHub Actions | GitLab CI | GitLab CI/CD | GitOps | Google Chronicle | Infrastructure as Code | Kusto | Language Models | Language Processing | Large Language Models | Logstash | Lucene | MITRE ATT&CK | Model inversion | Natural Language | Natural Language Processing | OpenAI API | Prompt engineering | Prompt injection | Python | RAG | RAG Pipelines | Retrieval-Augmented Generation | SQL | Security analytics | Security threat modeling | Sigma | Similarity Search | Splunk | Terraform | Threat modeling | Training data | Training data poisoning | Vector similarity | Vector similarity search | Version control | YARA-L | “as-code”
Education
N/A
Regions
Countries
States
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