Detection Engineer
$100,000–$140,000 year
Hybrid · Chicago, Illinois, United States
Job Summary
Detection Engineer role within Tempus Security Operations Center building data pipelines to ingest security events into a SIEM, develop Python APIs, tests, and CI; contribute to agentic SOC workflows with human-in-the-loop guardrails; responsibilities include building/maintaining log ingestion, normalizing events, testing with mocked APIs, operating pipelines, validating data in SIEM, improving detection-as-code, code reviews, and contributing to SOAR automations.
Required Qualifications
- Comfortable building Python—APIs and JSON, basic error handling, and tests in a managed project (Poetry or similar)
- Ability to integrate systems via APIs—OAuth or API keys, retries, and handling partial failures
- Testing discipline—unit tests, readable failures, and fixing regressions you introduce before merge
- Git and collaborative development—small, reviewable changes with clear descriptions of risk and rollout
- Temperament for long-horizon work—you can focus on incremental pipeline quality while understanding it enables agentic SOC capabilities over time
- Strong problem-solving skills and curiosity about security operations; willingness to learn detection concepts with mentorship
- Bonus points for: Experience with scheduled jobs or Docker
- Hands-on SIEM exposure from coursework, CTFs, labs, or internships (e.g. Splunk, Google SecOps, Microsoft Sentinel)
- Can navigate cloud primitives on GCP, Azure, or AWS (S3/GCS/Blob, Key Vault/Secret Manager/Secrets Manager, IAM roles and service principals)
- Experience with infrastructure as code (e.g. Terraform)
- Strong understanding of IAM principles in GCP (least privilege, service accounts, workload identity, and role bindings)
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