Senior Security Software Engineer – Security Operations

General Motors

Senior Security Software Engineer building AI-powered integrations across General Motors’ cybersecurity ecosystem. Delivering automation, cloud services, and detection workflows for SecOps teams.

Posted 9/10/2026full-timeWarren • Missouri, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software security engineering, API development, and cloud proficiency, with a strong focus on delivering secure and scalable integration services. Capable of leading teams, implementing security automation, and utilizing advanced AI integration techniques.

Highest-signal resume keywords

Software Security EngineeringAPI DevelopmentCI/CD Pipeline DeploymentCloud Proficiency in Azure, AWS, or GCPAI Integration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Modern Programming LanguagesMicroservicesEvent StreamingInfrastructure as CodeData Engineering FluencySecurity Tooling IntegrationsSecurity Data ModelingETL/ELTJSONYAML

Soft Skills

Team LeadershipMentoringStakeholder AlignmentTechnical Design Review

Tools & Technologies

TerraformBicepARMCloudFormationSIEMEDRSSPMLLM AgentsVector DatabasesSemantic Kernel

Industry Keywords

Cyber EcosystemSecurity AutomationIncident RunbooksMITRE ATT&CKOpen-Source Security Projects

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformITSMMicroservicesTerraform

About the role

Key responsibilities & impact

Design, lead, and deliver secure, scalable integration services connecting GM’s cyber ecosystem
Own architecture and delivery for APIs, microservices, and event-driven workflows with production SLIs/SLOs
Build AI-driven workflows for investigations, triage, and orchestration
Create reusable connectors bridging SIEM, EDR, IAM, SSPM, ITDR, ITSM, cloud telemetry, and related systems
Implement security automation playbooks that enrich alerts and trigger deterministic and AI-assisted responses
Harden and observe services using 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 epics and roadmaps, align stakeholders, and deliver quality work on time
Partner across SecOps, SOC, Platform, and Data teams to deliver measurable outcomes

Requirements

What you’ll need

5-7 years in software security engineering
Advanced proficiency in modern programming languages
Expertise in API development, microservices, event streaming, and idempotent integration patterns
Experience deploying software using modern CI/CD pipelines and automated delivery practices
Hands-on experience with security tooling integrations such as SIEM, EDR, and SSPM
Proven AI integration experience with LLM agents, embeddings, vector databases, RAG, and prompt engineering
Cloud proficiency in Azure, AWS, or GCP
Infrastructure as code experience with Terraform, Bicep, ARM, or CloudFormation
Data engineering fluency in ETL/ELT, schema design, normalization/enrichment, JSON, YAML, syslog, and STIX/TAXII
Ability to lead small teams through delivery
Experience extending vendor SDKs/plugins and contributing to open-source security/AI projects (preferred)
Security data modeling experience with MITRE ATT&CK mappings, entity graphs, and knowledge stores (preferred)
Familiarity with Semantic Kernel/LangChain, feature engineering, or lightweight MLOps (preferred)
Must not require GM immigration sponsorship now or in the future; GM does not provide immigration-related sponsorship

Benefits

Comp & perks

This job may be eligible for relocation benefits
Benefits and Total Rewards resources supporting well-being at work and at home
Reasonable accommodations for job seekers with disabilities