Sr. Security Software Engineer - Security OperationsGeneral Motors • Saint Paul, Illinois, United States
Sr. Security Software Engineer - Security Operations
General Motors
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
About
As a Senior Security Software Engineer, you will design, lead, and deliver secure, scalable integration services that connect our cyber ecosystem (SIEM, EDR, IAM, SSPM, CSPM, ITSM, cloud) and activate AI/LLM capabilities to accelerate detection, response, and risk management. You will drive architecture for critical services, mentor developers, and partner across SecOps, SOC, Platform, and Data teams to ship measurable outcomes.
What You’ll Do
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.
Your Skills & Abilities (Required Qualifications)
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.
What Will Give You a Competitive Edge (Preferred Qualifications)
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
.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, California, or Washington.
The expected base compensation for this role is
: $125,200 - $158,600.
The actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential:
An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.
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Languages
- English
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