Principal Cybersecurity Automation

Job not on LinkedIn

🔥 1 minute ago

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $135.6k - $293.7k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Stryker

WebsiteLinkedInAll Job Openings

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Founded 1941

🏥 Healthcare

💼 Consulting

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Healthcare • Consulting • Logistics

Stryker is a global leader in medical technology, providing innovative products and services across the healthcare sector. With a presence in countries across the Americas, Asia Pacific, Europe, and the Middle East & Africa, Stryker offers a wide range of medical technologies, including orthopedic implants, surgical equipment, and advanced hospital devices. The company is committed to improving patient outcomes and healthcare efficiency. Stryker continues to expand its global reach, offering localized solutions to meet diverse healthcare needs worldwide.

📋 Description

• 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

• 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

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

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