Principal Cybersecurity Automation

Stryker

. Own and prioritize the Cyber Defense automation roadmap .

Posted 11/4/2026full-timeRemote • Michigan • United StatesLead💰 $135,600 - $293,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Cyber Defense automation, including the design and operation of AI agents and security automation at enterprise scale. Proficient in Python, SQL, and security frameworks, with a strong focus on risk management and incident response.

Highest-signal resume keywords

Cybersecurity AutomationPython DevelopmentAI Risk ManagementIncident Response OperationsProduction Security Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAPI IntegrationsAutomation DesignAI Agent DevelopmentVersion ControlAutomated TestingCI/CDSecurity Controls ImplementationDetection Engineering

Soft Skills

MentoringInfluence Across TeamsCommunication of Complex Concepts

Tools & Technologies

Microsoft SentinelMicrosoft Defender XDRSplunkCrowdStrikeServiceNowMicrosoft AzureAzure AI FoundryAWSEnterprise SOAR PlatformsSecurity Data Platforms

Certifications & Qualifications

Cybersecurity CertificationsCloud CertificationsSoftware Engineering CertificationsAI Certifications

Industry Keywords

SOC OperationsMITRE ATT&CKNIST AI Risk Management FrameworkOWASP GuidanceVulnerability ManagementThreat IntelligenceCase ManagementAlert TriageHuman-in-the-Loop ControlsProduction Monitoring

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityPythonServiceNowSplunkSQL

About the role

Key responsibilities & impact

Own and prioritize the Cyber Defense automation roadmap
Design, build, and operate automation for alert triage, enrichment, containment, case management, and notification
Extend automation across vulnerability management and threat intelligence
Build and maintain integrations across endpoint security, detection engineering, security data platforms, asset inventory, threat intelligence, and ticketing systems
Identify and implement AI use cases across security operations
Design, build, and operate AI agents and assistants with least privilege, scoped tool access, and human approval for consequential actions
Develop evaluation frameworks for accuracy, reliability, consistency, and failure modes
Implement safeguards against prompt injection, data leakage, and excessive agent permissions
Evaluate vendor AI capabilities and provide build, buy, or wait recommendations
Apply version control, peer review, automated testing, CI/CD, and change controls to automation, detections, prompts, and AI configurations
Operate production automation with monitoring, error handling, runbooks, rollback capabilities, and performance management
Partner with Security Architecture, Privacy, Legal, and IT teams on responsible AI governance and risk management
Establish engineering standards, reusable patterns, and reference architectures
Mentor engineers and analysts
Define and report outcomes such as analyst hours returned, time to triage and containment, automation coverage, reliability, and error rates
Translate complex automation and AI concepts, capabilities, risks, and limitations for technical teams and executive audiences

Requirements

What you’ll need

Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or an equivalent combination of education and relevant professional experience
8+ years of relevant experience in cybersecurity, security engineering, software engineering, automation, or related technology disciplines
Experience designing, deploying, and operating production security automation at enterprise scale
Strong Python development skills
Working proficiency in SQL and API integrations, including REST APIs, webhooks, authentication, and OAuth
Experience building and operating production LLM-based solutions, including AI agents, retrieval-augmented generation, prompt design, tool integration, and evaluation
Experience implementing controls for AI-specific security risks, including prompt injection, data leakage, excessive agency, and inappropriate access
Strong understanding of SOC and incident response operations, detection engineering, and MITRE ATT&CK
Experience with Git, code review, automated testing, CI/CD, observability, and production support
Ability to establish technical direction and deliver complex solutions across teams through influence rather than direct authority
Experience with enterprise SOAR and security automation platforms preferred
Hands-on experience with Microsoft Sentinel, Microsoft Defender XDR, Splunk, CrowdStrike, ServiceNow, or comparable platforms preferred
Experience with Microsoft Azure, Azure AI Foundry, Azure OpenAI, AWS, or comparable technologies preferred
Experience designing agentic AI workflows with human-in-the-loop controls, evaluation frameworks, secure tool use, and production monitoring preferred
Knowledge of NIST AI Risk Management Framework and OWASP guidance for LLM and generative AI applications preferred
Relevant cybersecurity, cloud, software engineering, or AI certifications are a plus
Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future

Benefits

Comp & perks

Remote work flexibility
10% travel percentage
Equal opportunity employment
Pay transparency and compensation discussion protections