Top Cyber Security Jobs in Minneapolis, MN

The Senior Application Security Engineer will strengthen Apollo’s secure software development lifecycle through application security reviews, threat modeling, code analysis, vulnerability management, penetration testing, remediation, and AppSec tooling. The role includes developing automation, securing AI-powered features, improving security observability, enabling developers, and partnering across Engineering, Product, Platform, Data, Legal, and Security teams. This senior individual contributor will own long-term AppSec goals, resolve ambiguous risks, and drive cross-functional security improvements.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

Build and operate secure AI platforms, agent workflows, and reusable automation patterns. Embed security into SDLC and PDLC through threat modeling, scanning, secrets detection, supply-chain controls, and automated reviews. Develop AWS identity, network, access, and infrastructure guardrails, including zero-trust and privileged-access automation. Own production services, monitoring, incident response, and on-call support while partnering with teams across the company to enable secure self-service workflows.

Monitor, triage, investigate, and respond to cybersecurity alerts and intrusions. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 activity; determine root causes and recommend remediation. Support threat-related escalations, contribute to detection engineering and tuning, and collaborate across teams. The role requires familiarity with endpoint attack surfaces, threat actor techniques, Windows and domain administration, networking, web security, and basic malware analysis.

The Application Security Architect leads secure design and architecture reviews, threat modeling, source-code reviews, and security initiatives across application, cloud, infrastructure, and identity layers. The role develops security architectures and documentation, mentors security and engineering teams, supports AI-assisted product security workflows, and advances security awareness through the Security Champions program. Responsibilities include communicating risks to technical and executive audiences and embedding secure practices throughout software development and deployment.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Represent security compliance with customers, map frameworks to Zscaler capabilities, create reusable playbooks, educate sales teams, and complete security questionnaires and assessments. Translate technical security and data-protection concepts into business and sales messaging while supporting frameworks including NIST, ISO 27001, DORA, GDPR, PCI, and HIPAA. The role requires customer-facing credibility, compliance expertise, security architecture knowledge, and the ability to leverage AI-driven workflows.

Monitor, triage, and investigate security alerts across Microsoft Sentinel and Azure infrastructure. Follow playbooks to contain and escalate threats, document investigations, apply MITRE ATT&CK and Cyber Kill Chain concepts, identify detection gaps, and support tuning efforts. The role requires clear communication, methodical alert handling, and a willingness to develop scripting, log analysis, and evidence collection skills.

Own detection engineering and SOAR automation for an Azure-native platform. Build and tune Microsoft Sentinel analytics rules, close telemetry gaps across AKS, endpoints, and networks, and develop automated workflows for triage, enrichment, and response. Translate threat intelligence into detection logic, integrate security tools through APIs and scripting, reduce false positives, and improve detection coverage and analyst efficiency.

Leads cloud security advisory engagements across IaaS, PaaS, and SaaS environments. Develops security strategies, architectures, controls, monitoring, and incident response processes; directs risk assessments and vulnerability testing; advises executive clients; drives business development and thought leadership; and mentors security leaders and teams.

Leads cloud security engagements across IaaS, PaaS, and SaaS environments. Designs security architecture and controls, conducts risk assessments and vulnerability testing, manages monitoring and incident response, tracks remediation, and develops technical deliverables. The manager coaches team members, oversees project quality and timelines, addresses stakeholder issues, and identifies opportunities to improve cloud security through automation and emerging technologies.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Configure, harden, monitor, and protect cloud SaaS platforms including Salesforce, ServiceNow, and Microsoft 365. Manage identity, access, data protection, logging, detection, threat investigation, remediation, and SaaS incident response. Develop automation, baselines, documentation, and security workflows while supporting audits and compliance activities. Collaborate with platform owners and IT teams to address vulnerabilities, review new applications, and improve the security posture of the organization’s SaaS environment.

Leads enterprise information security, IT compliance, cyber risk, audit and assurance, cloud and SaaS security, incident response, privacy coordination, and AI governance. Sets security strategy, manages teams, budgets, technology portfolios, and security partners; oversees Microsoft 365 and AWS security; directs SOC, ISO, privacy, and regulatory programs; advises executives and the board; represents the company in client reviews and audits; and builds a security-conscious culture.

Lead macOS security research, including Endpoint Security API telemetry, malware reverse engineering, attack emulation, EDR bypass research, and proof-of-concept development. Collaborate with Detection Engineering, Product, and Engineering to operationalize findings, track Apple platform changes, improve detection coverage, document risks, and mentor teammates. The role also involves building ephemeral research infrastructure and representing the company through technical publications, speaking, and media engagement.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Secure IBM i (IBMi) servers and applications to prevent unauthorized access; produce audit evidence for ICFR/SOC/HITRUST; manage security reporting and investigations; build security reports using security tools, programming and SQL; review, prioritize, and remediate vulnerabilities.

Leads the strategy, implementation, monitoring, and improvement of SaaS security configuration practices. Manages security analysts and engineers, defines configuration standards and risk-based roadmaps, oversees SaaS posture monitoring, identifies configuration drift and control gaps, and drives remediation with technology, security, risk, and business teams. Establishes metrics, supports regulatory and audit requirements, evaluates SaaS platforms, and develops technical talent across SaaS security, posture management, configuration engineering, and automation.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.