Top Security Engineer Jobs

Lead DigitalOcean’s AI security strategy, governance framework, threat modeling, and multi-year roadmap. Partner with security, engineering, and data science teams to secure AI products, deploy guardrails, conduct adversarial testing and red teaming, and monitor AI/ML systems. Provide architectural reviews, executive risk briefings, and guidance on emerging threats including prompt injection, model supply-chain risks, agentic AI, and data exfiltration.

Lead DigitalOcean’s AI security strategy, governance framework, roadmap, and organizational programs. Build and operationalize AI/ML security controls, tooling, guardrails, and automation; conduct threat modeling, adversarial testing, and AI red teaming. Review AI architectures, guide high-risk product decisions, monitor deployed models, and address risks involving RAG, agents, model supply chains, and prompt injection. Represent AI security to executives and external communities while translating emerging research and threats into engineering guidance and policy.

Lead DigitalOcean’s AI security strategy, governance framework, and multi-year roadmap. Secure AI/ML systems across data ingestion, training, model serving, RAG, agents, and monitoring. Conduct threat modeling, adversarial testing, AI red teaming, and security reviews; develop guardrails and automation with engineering teams. Advise executives and the board on AI risk, define organizational controls, and guide responses to emerging threats including prompt injection, model supply-chain risks, and AI-enabled social engineering.

Lead DigitalOcean’s AI security strategy, governance framework, and multi-year roadmap. Secure AI/ML systems across data ingestion, training, model serving, RAG, agents, and monitoring. Conduct AI red teaming, threat modeling, security reviews, and adversarial testing, while building defensive tooling and guardrails. Advise executives and the board on AI risk, guide engineering teams, and define organizational policies for responsible AI security.

Lead DigitalOcean’s AI/ML security strategy, architecture, governance, and multi-year roadmap. Build security controls, guardrails, tooling, and automations; oversee AI red teaming, adversarial testing, threat modeling, and model monitoring. Review AI product architectures, guide high-risk decisions, establish responsible AI policies, and brief executives and the board on AI security risks. Serve as the internal expert and external representative on emerging AI security topics, including agentic AI, model supply chains, prompt injection, and data integrity.

Partners with sales executives to provide technical pre-sales support, lead proof-of-concept processes, deliver customer presentations, architect cloud security solutions, and help close opportunities. Maintains product expertise, supports events and technical working sessions, updates CRM records, collaborates with sales and engineering, and contributes to revenue targets. Requires extensive sales engineering and cloud security experience, strong presentation skills, and familiarity with major cloud platforms and security solutions.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.

Lead the technical presales process for Proofpoint’s data security and insider risk solutions. Partner with sales teams, conduct technical discovery, design security architectures, and manage proof-of-concept and production evaluations. Present solutions to customers, support deployments and training, collaborate with Professional Services, Engineering, Product Management, and Support, and provide customer insights to improve products. The role also develops internal documentation, training, and repeatable sales engineering processes.

Build a scalable AI security platform, foundational services, APIs, SDKs, and guardrails for AI-powered security agents. Design secure, reliable distributed systems incorporating identity, authentication, authorization, encryption, and data protection. Partner with security and engineering teams to deliver reusable platform capabilities, improve performance and developer experience, and shape the platform’s technical architecture. The role requires hands-on software engineering experience with AI platforms, cloud-native infrastructure, and large-scale systems.

Leads the architecture, integration, and technical direction of an enterprise physical security technology ecosystem. Manages the Solutions Engineering portfolio from intake through completion, including project prioritization, resource allocation, technology selection, automation, upgrades, troubleshooting, documentation, and stakeholder communication. Provides expertise across access control, video security, visitor management, analytics, enterprise integrations, and security data workflows while mentoring engineers and managing technical and operational risks.

Build and scale a technical security and compliance program across SOC 2, ISO 27001, HIPAA, AI governance, and customer assurance. Translate requirements into technical controls, automate evidence collection and testing, support audits, manage risks and remediation, and partner with Engineering, Infrastructure, IT, and Product. Maintain access, change, logging, vendor-risk, vulnerability, and incident-response controls while supporting FedRAMP and NIST 800-53 initiatives.

Implements, administers, and maintains cybersecurity and vulnerability management solutions across enterprise and mission networks. Responsibilities include ACAS/Tenable and endpoint security administration, credentialed vulnerability scanning, remediation coordination, system hardening, patch management, RMF and STIG compliance, security reporting, scripting, incident response support, and collaboration with system, network, and cybersecurity teams. The role is fully onsite, may require occasional after-hours maintenance, and requires a TS/SCI clearance.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

The Senior Embedded Security Engineer will enhance the security of the flight software for space vehicles, ensuring high standards for safety and secure coding practices throughout the development lifecycle.

The Security Engineer will manage Liftoff's SIEM, lead the adoption of AI-augmented SOC tools, triage alerts, and improve incident response processes while collaborating on various security functions.

The Senior Kubernetes Engineer will manage and enhance Kubernetes clusters, automate deployments, ensure security, and collaborate with teams to deliver reliable containerized applications.

Engineer and harden classified systems, mission ground systems, and lab environments; implement security controls; develop accreditation artifacts; support RMF, ATO, and continuous monitoring; perform vulnerability management, incident response, and security automation; and mentor junior personnel. The role requires collaboration with program engineers and administrators, on-call participation, and support for national security missions in primarily onsite classified facilities.

Manage and improve enterprise vulnerability management using Tenable and related technologies. Define scanning strategies, analyze and prioritize vulnerabilities, coordinate remediation, validate closure, and improve asset coverage and reporting. Develop dashboards and metrics, support exception reviews and audit evidence, and contribute to endpoint, identity, cloud, Zero Trust, hardening, and threat-hunting initiatives. Partner with infrastructure, cloud, application, security operations, and other technical teams across a complex global environment.

Designs, implements, and maintains secure network infrastructure for Lightning AI’s production and AI environments. Responsibilities include firewall, VPN, IDS/IPS, segmentation, vulnerability assessment, penetration testing, SIEM monitoring, incident response, compliance documentation, access controls, and security automation. The role partners with infrastructure and engineering teams to mitigate threats and optimize security controls.

Architect and scale global network security systems for bot detection, bot mitigation, and DDoS defense. Build distributed backend systems, ML-driven threat defense pipelines, feature stores, and real-time streaming infrastructure. Lead technical strategy, vendor integrations, architecture reviews, security KPI development, experimentation, and cross-functional initiatives while mentoring engineers.

Design, build, and operate enterprise identity, endpoint, and security systems. Automate lifecycle management, access governance, EDR operations, and endpoint hardening. Develop AI/automation agents to eliminate manual work, run enterprise security metrics, support incident response, and establish secure-by-default SaaS onboarding standards.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

Staff Security Engineer partners with Product, Engineering, and DevOps to embed security into application architecture, cloud infrastructure, and CI/CD processes. Responsibilities include secure design and code review, vulnerability remediation, AWS cloud security, WAF tuning, security automation in Python, SIEM and log pipeline contributions, endpoint controls, and security standards. The role requires deep expertise in application security, cloud security, or security automation, plus threat modeling and independent project ownership.

Lead strategy and technical execution of vulnerability management, offensive security, and AI-augmented defenses. Own full VM lifecycle, integrate scanning and asset systems, automate remediation, generate security insights, define KPIs/SLAs, advise executives, and mentor engineers to improve organizational security posture and compliance.

Develop, deploy, configure, and maintain cybersecurity tools and defensive solutions across on-premise and cloud environments supporting NGA networks. Troubleshoot network security issues, manage architectures and inventories, evaluate emerging technologies, recommend upgrades, and provide technical reports and briefings. The role requires active TS/SCI clearance, DoD cybersecurity certifications, enterprise network security expertise, and support for occasional off-hours work.