Top Senior Cyber Security Jobs in Ann Arbor, MI

Conduct advanced application security and red team assessments for Fortune 1000 clients. Test web, API, mobile, and AI-enabled applications; perform threat analysis, reconnaissance, customer interviews, and technical control validation. Document vulnerabilities, analyze risk and root causes, and recommend remediation. Projects may also include network, Active Directory, social engineering, wireless, and security technology bypass testing. The role requires strong penetration testing, consultative communication, reporting, and client-facing skills.

Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.

Partner with sales teams to win strategic data security opportunities. Present technical solutions, gather customer requirements, lead product evaluations, configure solutions, and design evaluation test plans. The role requires extensive pre-sales experience, security and networking expertise, data protection and web technology knowledge, and collaboration across matrixed go-to-market and partner teams.

Perform offensive security research and engineering for Windows: discover vulnerabilities, develop PoC mitigations and tools (fuzzers/agents), conduct code and design reviews, partner with product teams, and engage external researchers to improve OS security.

Designs and advances security architecture for Microsoft’s enterprise productivity environment. The role assesses evolving risk, analyzes systems and telemetry, develops reusable security patterns and tooling, partners with engineering teams on deployment, communicates risk and tradeoffs, and establishes priorities and roadmaps amid incomplete information.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

Designs and implements cloud security solutions for Microsoft Azure and Microsoft 365 customers. Leads security architecture discussions, Zero Trust adoption, technical evaluations, implementation planning, troubleshooting, and enterprise security strategy. Advises executives and technical stakeholders on identity and access management, threat protection, cloud security, information protection, and secure-by-design architectures. Collaborates with Microsoft engineering, product, and security teams to remove blockers and orchestrates technical resources to deliver customer outcomes.

Secure software and cloud environments through threat modeling, code review, vulnerability remediation, security automation, detection engineering, and attack simulations. The role partners closely with Engineering, manages Snyk and Docker Scout findings, integrates security into CI/CD, coordinates third-party penetration testing for SOC 2 and HITRUST, and helps define secure architecture for mobile, data lake, AI, and production cloud systems.

Leads Lilly’s enterprise security posture and exposure management organization. Owns vulnerability management strategy, scanning architecture, application security integration, offensive security oversight, risk-based prioritization, remediation SLAs, exposure reporting, tooling, automation, vendors, budget, and executive accountability. The role requires deep hands-on cybersecurity expertise and experience leading leaders across enterprise-scale vulnerability management or security operations.

Designs and builds secure AWS infrastructure for a regulated SaaS platform. Responsibilities include cloud security architecture, IAM, networking, containers, encryption, logging, monitoring, automated guardrails, risk remediation, reference architectures, and engineering mentorship. The role partners with application security and infrastructure teams to secure AWS environments across design and production, supporting compliance for financial services customers.

Design and lead the application security program centered on Wiz. Automate security throughout the SDLC, including code, dependency, secrets, container, infrastructure-as-code, and release scanning. Establish threat modeling, secure design reviews, and guardrails for AI-assisted development. Improve developer adoption by delivering accurate findings within existing tools, while mentoring the AppSec team and partnering with cloud and AI security architects.

Lead insider risk detection engineering and investigations using EDR/XDR, UEBA, SIEM, and SOAR tools. Refine detection rules, reduce alert noise, close coverage gaps, manage investigations, develop playbooks, document evidence, mentor analysts, and collaborate discreetly with HR, Legal, business leaders, and executives. The role also requires investigative workflow automation using Python or JavaScript and ownership of scalable security processes.

Implements and operates data security controls across cloud analytics platforms, databases, data lakes, storage, and pipelines. Responsibilities include encryption, key and secrets management, least-privilege access, data classification, masking, tokenization, database hardening, secure integrations, entitlement reviews, automation, telemetry, compliance evidence, threat modeling, documentation, and technical support. The role collaborates with security, data, governance, engineering, and IT teams while working remotely.

Own Playlist’s technical GRC architecture across multiple compliance frameworks, including PCI DSS, SOC, ISO 27001, HITRUST, and NIST. Design unified control mappings, maintain the Master Control List, manage control and evidence lifecycles, automate evidence collection, and translate requirements into engineering guidance. Build AI-powered GRC workflows for risk quantification, vendor assessment, and compliance monitoring while partnering with Engineering, Legal, Finance, and auditors.

Own Playlist’s technical GRC architecture, including a unified Master Control List, cross-framework mappings, control lifecycles, evidence requirements, and audit automation. Build scalable GRC tooling and AI-powered workflows for risk quantification, vendor assessments, evidence collection, and compliance monitoring. Partner with Security Engineering, Legal, Finance, and product teams to translate regulatory requirements into actionable controls and harmonize compliance across multiple brands.

Owns and strengthens the security posture of cloud-based SaaS and Microsoft 365 environments. Responsibilities include vulnerability management, incident response, cloud and endpoint hardening, identity and data protection, secure configuration, monitoring, compliance evidence, customer security reviews, and risk management aligned with HITRUST, HIPAA, NIST, and related frameworks.

Designs, implements, configures, and supports enterprise cybersecurity solutions across IAM, endpoint, network, email, application, cloud, and security awareness domains. Conducts vulnerability assessments, threat hunting, incident investigation, security tool tuning, policy development, and security architecture reviews. Serves as a security subject matter expert on technology projects, collaborates with an MSSP, provides incident escalation support, and maintains availability for critical security operations.

Lead design, deployment, and scaling of enterprise DLP across cloud, endpoint, SaaS, and network with a focus on AI-driven automation. Build automated classification, remediation, and workflows, integrate DLP with SIEM/SOAR/identity/cloud, develop policies for regulatory compliance, mentor engineers, and present program insights to leadership.

Lead and own the enterprise SSPM program: implement and manage SSPM platform, onboard SaaS apps, tune controls, integrate with SIEM/SOAR/ITSM/identity, perform threat modeling and risk assessments, drive remediation, support compliance mapping, report metrics, and partner across cyber, IT, risk, and business teams to reduce data exposure and improve SaaS security posture.

Own the strategy, roadmap, delivery, and lifecycle of enterprise data security products. Lead data governance, discovery, classification, DLP, access governance, compliance, and secure-by-design capabilities. Manage backlogs, Agile delivery, KPIs, stakeholder communication, and risk reduction outcomes while integrating AI to improve security workflows and productivity.

Leads architecture and implementation of Microsoft Red Team visibility, telemetry, monitoring, detection, alerting, deconfliction, and operational security capabilities. Designs scalable services and data pipelines, maintains authoritative operational asset inventories, identifies systemic security gaps, and drives durable engineering solutions. Provides hands-on technical leadership, architecture reviews, debugging, incident response, mentorship, and cross-organizational influence while enabling authentic Red Team operations with strong defensive visibility and control.

Own corporate detection and response, incident response, endpoint security, identity and SaaS security, Google Workspace governance, and corporate-to-production monitoring. Build LLM-driven security triage with measured evaluation, automate enforcement through vendor APIs, improve detection fidelity, and partner with engineering to ship security improvements. Manage Mac fleet security, phishing-resistant authentication, access reviews, DLP, OAuth governance, and containment playbooks.

Engineer and maintain enterprise network security platforms across on-premises and cloud environments. Design firewall and network security solutions, troubleshoot complex connectivity and security issues, and automate infrastructure operations using scripting, APIs, Infrastructure as Code, configuration management, and CI/CD pipelines. Support platform upgrades, vulnerability remediation, monitoring integrations, validation processes, and modernization initiatives while collaborating with network, cloud, application, and security teams.

Build and mature an insider threat detection and response program through detection engineering, threat hunting, automation, incident response, and data exfiltration monitoring. The role partners with engineering, HR, and Legal on investigations, designs countermeasures, supports 24/7 on-call coverage, and contributes to security awareness initiatives.

Leads investigations and responses to vehicle, API, mobility, and backend cybersecurity incidents. Responsibilities include threat hunting, OSINT, detection tuning, AI workflow deployment and monitoring, playbook development, customer advising, incident reporting, mentoring analysts, and tracking SOC performance. The role also improves detection models and collaborates with threat intelligence, engineering, product, and customer-facing teams.