Automation focused Detection Engineer

11 hours ago

Bengaluru, Karnataka, India Oracle Full time

Short Description

We are seeking an Automation-Focused Detection Engineer with strong expertise in pipeline engineering, workflow automation, and detection lifecycle orchestration. Security knowledge is helpful, but automation engineering is the primary requirement.

You will develop large-scale automated systems for detection deployment, validation, enrichment, and tuning across Oracle's SaaS/cloud ecosystem, collaborating across Detection Engineering, Threat Hunting, and Threat Intelligence to deliver adaptive and low-noise detection capabilities

**.

Minimum Qualificatio**

  • ns5–8+ years of experience in automation engineering, detection engineering, data engineering, or cloud/SaaS securit
  • y.Strong programming and automation skills (Python/Go) with expertise in CI/CD, testing automation, and pipeline orchestratio
  • n.Experience building telemetry ingestion and normalization pipelines (Kafka, Kinesis, Pub/Sub, Elastic, Snowflake, BigQuery
  • ).Hands-on experience with SIEM/SOAR integrations and detection content formats (Sigma/KQL/SPL/OSQuery/eBPF
  • ).Knowledge of applied AI/ML concepts for automation (anomaly detection, clustering, feature engineering
  • ).Familiarity with cloud-native logging (AWS/GCP/Azure) and API-driven telemetr
  • y.Ability to automate validation, noise reduction, and feedback loops for detections at scal

**e.

Preferred Qualificati**

  • onsExperience building automated threat intelligence ingestion, normalization, and correlation pipelin
  • es.Background in automated detection tuning, false positive reduction, and statistical signal modeli
  • ng.Exposure to SOC workflows, adversary simulation, and detection content quality engineeri
  • ng.Experience designing automated hunt pipelines or enrichment syste
  • ms.Security knowledge (MITRE ATT&CK, ID-based attacks, adversary behavior) is a plus, not requir
  • ed.Certifications such as GCP/AWS Security, GIAC (GCDA, GCTI, GCFA) are helpful but not mandato

**ry.

Responsibili**

tie
s1. Automation-Driven Detection Enginee

  • ringBuild scalable pipelines to deploy, test, version, and validate detections using CI/CD and automated
  • QA.Develop frameworks for continuous drift detection (schema drift, threshold decay, dependency failures) and self-heal
  • ing.Automate data onboarding, normalization, and telemetry pipeline reliabil

ity.2. AI/ML Workflow Automa

  • tionApply ML to automate anomaly detection, noise reduction, alert triage, and risk scor
  • ing.Build automated feedback loops that retrain or recalibrate models based on precision/recall metr
  • ics.Prototype LLM/RAG-based assistants for playbook generation, hypothesis creation, and enrichm

ent.3. Threat Intelligence & Enrichment Automa

  • tionAutomate ingestion and correlation of TI feeds (TIPs, OSINT, ISACs, vendors) into detection pipeli
  • nes.Normalize and map TI data to ATT&CK for automated coverage track
  • ing.Build enrichment pipelines that scale across millions of security eve

nts.4. Proactive Controls & Security Automa

  • tionImplement automated preventive controls (rate limits, token binding, WAF workflo
  • ws).Integrate SOAR workflows to reduce MTTR via automated investigation and remediat
  • ion.Build systems that measure detection KPIs (FPR/FNR, time-to-detect, noise volume) automatica

lly.5. Continuous Improvement & Innova

  • tionLead automation maturity initiatives across Detection Engineer
  • ing.Partner with data science teams to develop AI-supported detection content generat
  • ion.Drive continuous reskilling for engineering teams in automation-first methodolog

ies.

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