Top Senior Security Engineer Jobs

Designs, builds, automates, and operates security capabilities across Azure, GCP, and on-premises environments. Responsibilities include Python automation, AI/LLM security workflows, infrastructure as code, cloud and network security, threat modeling, vulnerability remediation, security tool integration, documentation, troubleshooting, incident improvement, and on-call support. The role owns security services through production, collaborates across engineering teams, and mentors peers.

Own security risk identification, quantification, prioritization, and remediation across third-party risk, assessments, and security findings. Maintain risk registers, reporting, metrics, and remediation tracking while partnering with technical and business stakeholders. Lead AI risk management for ISO 42001 certification and build automation, scripting, and AI-enabled tools to improve GRC workflows. Monitor emerging risks, frameworks, regulations, and threat trends, communicating business-relevant risk insights to leadership.

Leads product security event detection engineering for digitally connected Boeing aircraft. Responsibilities include developing detection solutions, analyzing risks and technical data, validating IDS and SIEM coverage, defining supplier security requirements, supporting continued airworthiness and sustainment programs, and collaborating with customers, suppliers, governments, testers, and industry partners to improve cybersecurity standards, tools, and methods.

Architect, develop, optimize, and maintain AI-enhanced access security features and backend services. Integrate LLMs and AI workflows for identity intelligence, risk detection, and remediation. Lead architecture, design, testing, performance, reliability, and production readiness for enterprise systems. Deliver features end to end, collaborate cross-functionally, conduct code reviews, and mentor engineers while improving scalability, maintainability, and security.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Designs, implements, and improves the organization’s IAM program, including PAM, SSO, IGA, MFA, AD, and CIAM. Configures security tools, automates identity lifecycle processes, supports governance and compliance, investigates IAM-related incidents, and integrates cloud and enterprise identity systems. Leads complex IAM projects, mentors junior engineers, participates in on-call support, and collaborates with cybersecurity, IT, developers, and business stakeholders.

Provide pre-sales technical support for regional sales teams by demonstrating Vectra security solutions, addressing customer pain points, and solving technical roadblocks. Build technical relationships with customers and partners, support technology reviews and integrations, maintain expertise in security products and the threat landscape, and collaborate on deployments, designs, releases, and customer projects. Travel within the assigned region as needed.

Provides pre-sales technical support for Vectra’s cybersecurity platform. Demonstrates products, advises customers and partners, resolves technical obstacles, supports deployments and technology reviews, and develops customer relationships alongside regional sales managers. The role requires expertise in security platforms, networking, cloud security, attacker progression, incident response, and security processes, along with strong communication skills and regional travel.

Lead security reviews, code audits, penetration testing, vulnerability research, and mitigation efforts for Microsoft Windows services. Develop reusable security tools and agents, identify attack vectors and architectural risks, demonstrate exploit impact, and collaborate with product engineering teams to design scalable defenses and improve security investments.

Designs, implements, administers, and supports enterprise cybersecurity infrastructure and network security architecture. Responsibilities include managing Palo Alto and Fortinet firewalls, VPNs, vulnerability platforms, security monitoring, incident response, network segmentation, and secure network connectivity. The role supports compliance with FFIEC, GLBA, and NIST requirements, participates in audits and risk assessments, maintains documentation, and collaborates with IT, risk, compliance, and business stakeholders. This is a hybrid position requiring onsite work four days per week.

Own security across application, cloud, and network layers. Conduct threat assessments and design reviews, build product protections, author security documentation, coordinate testing and compliance, manage customer security reviews, and lead incident preparedness and response. Maintain cloud access audits, automate security checks in deployment pipelines, and establish policies for secrets, outbound data, and device management. The role requires hands-on security engineering, coding, risk communication, and independent work in an on-site startup environment.

Conduct red-team assessments of formally verified systems, evaluating proofs, specifications, threat models, and trusted computing bases. Build AI-driven vulnerability discovery, triage, and exploit-generation tooling; identify and demonstrate exploitable weaknesses in software and infrastructure. Produce rigorous security reports, publish methodologies, collaborate with domain experts and third parties, and deliver engagements on fixed schedules.

Build and operate security infrastructure, including SIEM systems, large-scale data pipelines, searchable data lakes, and security observability capabilities. Integrate infrastructure sources, acquire and process high-volume logs, and support detection, threat hunting, and insider-risk programs. Collaborate with security, data platform, and infrastructure teams to deliver reliable, scalable solutions using Go or Python, Kubernetes, Elasticsearch, and related technologies.

Manage the vulnerability lifecycle across Datadog’s multi-cloud environment, including detection, impact assessment, prioritization, remediation, and verification. Build AI-assisted automation, tools, and workflows that reduce engineering toil and address vulnerabilities earlier in the SDLC. Analyze remediation failures, identify root causes, partner with security and engineering teams, and provide vulnerability-management expertise for SOC 2, HIPAA, PCI, FedRAMP, and ISO compliance.

Establish and operate the company-wide security and privacy program, covering cloud and infrastructure protection, access controls, data protection, application security, audit readiness, AI-agent guardrails, customer security reviews, penetration testing, and third-party risk assessment.

Lead the company’s security engineering practice, establish its roadmap, and promote secure engineering practices. Build customer-facing security capabilities and write production Go code to protect cloud and container environments. Own access control, network design, credential handling, workload separation, and audit logging across major cloud providers. Partner with customer security teams to define requirements and demonstrate platform security. The role requires application security expertise and hands-on software engineering experience.

Build and maintain scalable security observability, detection, and response systems. Develop AI- and ML-based detections, normalize large-scale security logs, automate incident workflows, respond to alerts and threats, conduct investigations and threat hunts, and participate in detection and response on-call rotations.

Lead security engineering for RTOS, hypervisor, and embedded virtualization: design and review defenses, collaborate on CPU/SoC security, perform threat modeling and automotive TARA, review low-level C/C++ code, build fuzzing and test infrastructure, assess vulnerabilities, and drive security fixes and verification toward automotive safety and security standards.

Designs, operates, monitors, and remediates security solutions across cloud, infrastructure, application, and DevSecOps environments. Analyzes security events and threat models, implements security standards and controls, develops security automation, supports secure coding practices, and resolves cross-functional security issues. The role requires strong knowledge of security tools, cloud technologies, application development, identity standards, operating systems, networking, and cybersecurity frameworks.

Monitor, investigate, and respond to global security incidents; lead incident response as an incident commander; develop security alerts, playbooks, automated actions, and escalation workflows; conduct threat hunting and threat intelligence research; improve detection, containment, and post-incident processes; collaborate with stakeholders; and participate in an on-call rotation.

Leads cybersecurity engineering teams developing enterprise security solutions across multiple technology domains. Clarifies security requirements, supports multi-level network security, performs threat modeling and vulnerability assessments, and advises leaders during security risks. Uses and validates enterprise-authorized AI for risk analysis, documentation, security testing, and control validation while ensuring data sensitivity, auditability, and resiliency. Coaches, develops, hires, and recognizes engineering talent.

Own Alloy’s AWS cloud security program, partnering with Infrastructure and engineering teams to secure new designs, reduce infrastructure risk, manage CSPM findings, and implement Terraform-based remediations. Build SIEM and CSPM detections, alerts, dashboards, and runbooks; improve AWS permissions and network security; participate in on-call incident response; and drive root-cause remediation and preventative controls.

Designs and improves enterprise security across endpoints, SaaS, identity, infrastructure-as-code, AI applications, and corporate networks. Responsibilities include Terraform and GitOps automation, endpoint lifecycle security, AI and MCP governance, third-party risk assessments, threat modeling, detection and response collaboration, and security control assessments. The role requires strong Python or Go skills, endpoint and identity expertise, macOS security experience, and the ability to communicate and guide distributed engineering teams.

Designs and improves enterprise security across endpoints, SaaS, identity, infrastructure-as-code, AI applications, and corporate networks. Responsibilities include modernizing endpoint management, automating secure deployment and patching, managing Terraform and GitOps workflows, governing AI and MCP security, assessing third-party risks, supporting detection and response, threat modeling, and guiding engineering teams toward stronger security practices.

Secure Compass’s enterprise endpoints, SaaS applications, identity systems, office networks, and AI tooling. The role modernizes endpoint management, builds Terraform and GitOps automation, manages identity and security controls, evaluates third-party and AI risks, supports detection and response, conducts threat modeling, and guides engineering teams toward stronger security practices.