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Key skills for this role
Own architecture & delivery for complex integration services (APIs, microservices, event-driven workflows) with production SLIs/SLOs.
Build AI-driven workflows (RAG, summarization, classification, agents) that augment investigations, triage, and orchestration.
Create reusable connectors bridging SIEM/EDR/IAM/SSPM/ITDR/ITSM and cloud telemetry with robust error handling, retries, and DLQs.
Implement security automation (SOAR-like playbooks) that enrich alerts and trigger deterministic + AI-assisted responses.
Harden and observe services with CI/CD, automated testing, performance profiling, metrics, and incident runbooks.
Mentor engineers and lead technical design reviews, coding standards, and reference implementations.
Translate requirements into clear epics/roadmaps; align stakeholders and deliver on time with quality.
5-7 years in software security engineering; advanced proficiency in modern programming language s.
Expert in API development, microservices, event streaming, and idempotent integration patterns.
Experience deploying software using any modern CI/CD pipeline and automated delivery practices.
Hands-on with security tooling integrations (e.g., SIEM, EDR, SSPM ).
Proven AI integration experience: LLM agents, embeddings, vector databases, RAG, prompt engineering.
Cloud proficiency ( Azure/AWS/GCP ) and IaC ( Terraform/Bicep/ARM/CloudFormation ).
Data engineering fluency: ETL/ELT, schema design, normalization/enrichment; formats ( JSON, YAML, syslog, STIX/TAXII ).
Excellent cross-functional communication; ability to lead small teams through delivery.
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General Motors is a U.S. automotive company that designs, manufactures, and sells vehicles under brands including Chevrolet, Buick, GMC, and Cadillac. The company operates globally across vehicle engineering, manufacturing, sales, and mobility services.
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Senior · 5–7 years experience
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