Cybersecurity/Security Data Platform ARCHITECT (SIEM) - Remote

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VINEET SHARMA

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Jun 15, 2026, 1:26:17 PM (8 days ago) Jun 15

Please share resume to vine...@kanandcorp.com

Role: Senior SIEM Architect with cloud-native AI/ML

Remote in USA (candidates to work with the India team (time zone))

Duration: 6 – 12 months

Please set the expectation with the candidate that they will be working closely with the India-based development team. As a result, they will be required to maintain approximately 3–4 hours of overlap with the India team each day to support effective collaboration and communication.

Role Summary

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 GCP and other feeds.
Build multi-source ingestion from CloudTrail, Azure Monitor, GCP 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.

Regards,

Vineet Sharma

Sr Associate - Talent Acquisition

KAnand Corporation

LinkedIn: https://www.linkedin.com/in/vineetshr/

Email: vine...@kanandcorp.com

Web: www.kanandcorp.com

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