Senior Security Software Engineer — AI‑Driven Integrations

Dormont Manufacturing Co; Kentucky; Hybrid; USD 140,000 - 210,000; Full time

Job summary

General Motors' Cybersecurity Team seeks a Senior Security Software Engineer to design and lead secure, scalable integration services that connect our cyber ecosystem and enable AI-driven detection and risk management. You will mentor developers and partner across SecOps, SOC, Platform, and Data teams to deliver measurable outcomes.

This hybrid role requires 5–7 years in software security, strong API/microservices experience, and cloud/IaC proficiency (Azure/AWS/GCP, Terraform, CloudFormation).

Qualifications

• 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 CI/CD pipelines and automated delivery practices.
• Hands-on with security tooling integrations (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.

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.

Skills

API development

Microservices

CI/CD

Security tooling

AI integration

Cloud platforms

Data engineering

Cross-functional leadership

Tools

Terraform

CloudFormation

Bicep

ARM templates

LangChain

Job description

General Motors' Cybersecurity Team seeks a Senior Security Software Engineer to design and lead secure, scalable integration services that connect our cyber ecosystem and enable AI-driven detection and risk management. You will mentor developers and partner across SecOps, SOC, Platform, and Data teams to deliver measurable outcomes.

This hybrid role requires 5–7 years in software security, strong API/microservices experience, and cloud/IaC proficiency (Azure/AWS/GCP, Terraform, CloudFormation).