Senior SIEM Architect with cloud-native AI/ML

Remote • Posted 3 days ago • Updated 13 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SIEM Architect
  • cloud-native
  • AI/ML

Summary

Duration :12+ Months

We are seeking a Senior SIEM Architect to design and build a cloud-native AI/ML observability platform.

You will build a production-grade SIEM collector pipeline that ingests, normalises, and analyses multi-cloud telemetry to enable real-time detection, analytics, and governance.

Required Qualifications

  • Expert in SIEM, multitenant distributed SAAS applications, Java microservices.
  • Strong Experience with leading SIEM platforms (e.g., Splunk, Sentinel, Elastic, Chronicle)
  • Strong background in large-scale log processing
  • Hands-on experience with OpenTelemetry (OTel Collector, OTTL)
  • Strong streaming/data pipeline expertise (Kafka + Kinesis/Event Hub/PubSub; Flink/Kafka Streams; Data warehousing and analytics technologies)
  • Working knowledge of ML-based anomaly detection and behavioural analytics is a plus.
  • Experience with Kubernetes and Infrastructure as Code

Key Responsibilities

  • Architect and implement multi-tenant SIEM Collector pipelines services (receivers, processors, exporters) across AWS, Azure, and Google Cloud Platform and other feeds.
  • Build multi-source ingestion from CloudTrail, Azure Monitor, Google Cloud Platform Audit Logs, Splunk, Sentinel, and API logs
  • Normalise telemetry to OTel semantic conventions.
  • Design and implement: Detection engines (rules + ML anomaly detection)
  • Behavioural analytics (entity/data flow modelling)
  • Develop analytics for: Usage patterns, risk scoring, and data flow insights
  • Enable real-time alerting, severity classification, and audit logging (immutable storage)
  • Implement DLQ, and replay pipelines
  • Partner with other engineers, product managers and engineering stakeholders to deliver implementation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119616
  • Position Id: 8997761
  • Posted 3 days ago
Contact the job poster
Pooja Bagde

Pooja Bagde

Team Lead - US Staffing @ K Anand Corporation
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