Sr. Security Software Engineer - Security Operations

General Motors is a leading automotive company committed to cybersecurity excellence. They are seeking a Senior Security Software Engineer to design and deliver secure integration services that enhance their cyber ecosystem while driving enterprise security initiatives.

Responsibilities:

• 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

Requirements:

• 5-7 years in software security engineering; advanced proficiency in modern programming languages
• 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
• Experience extending vendor SDKs/plugins; contributions to open-source (security/AI)
• Security data modeling (MITRE ATT&CK mappings, entity graphs) and knowledge stores
• Familiarity with Semantic Kernel/LangChain, feature engineering, or lightweight MLOps