Top Remote Security Engineer Jobs

Designs and manages security controls for AWS and Kubernetes environments, including sandboxing, infrastructure-as-code, cluster hardening, threat modeling, audits, CI/CD security, incident response, and compliance. The role collaborates with engineering and infrastructure teams, mentors engineers, and advocates for cloud security practices across the organization.

Leads hypothesis-driven threat hunting, cloud vulnerability analysis, remediation, and incident response across AWS, Azure, GCP, and OCI. Administers Qualys and Tenable, analyzes SIEM and cloud telemetry, investigates threats, prioritizes vulnerabilities, remediates misconfigurations and IAM risks, develops detections and hunt playbooks, documents findings, briefs stakeholders, and mentors junior engineers.

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.

Lead enterprise application security and DevSecOps initiatives across a strategic healthcare application portfolio. Implement automated security controls, testing, policy enforcement, and self-service capabilities in software delivery pipelines. Drive cloud, container, mobile, infrastructure-as-code, software supply chain, and vulnerability management programs using modern security platforms. Provide architecture guidance, mentor engineers, standardize security practices, lead platform implementations, and communicate security outcomes and risk posture to senior stakeholders.

Designs and implements automation for federal security authorization and ATO processes. Responsibilities include automating evidence collection, validation, workflow routing, reporting, policy checks, and readiness dashboards; integrating security scans, SBOM/SCA, vulnerability, repository, and system-of-record tools; and maintaining testing, documentation, traceability, and release artifacts. Requires collaboration with security, engineering, platform, data, and government stakeholders.

The Cloud Product Security Engineer builds and operates security controls within cloud environments, focusing on preventive measures and incident response, while ensuring integration with cloud platforms and CI/CD workflows.

Build, deploy, and maintain AppSec tooling; integrate security into SDLC; triage SAST/DAST findings; automate penetration testing; lead secure coding and threat modeling; support vulnerability detection, remediation, and incident response.

Lead QA efforts for Cisco Meraki MX/Catalyst network security and SD-WAN features. Design and execute test strategies, build automation for CI/CD, validate security services (malware, IPS, URL filtering, SSL/TLS), and drive performance and scalability testing using traffic generators and AI-driven techniques.

Lead detection engineering, threat hunting, digital forensics, incident response, and security automation across cloud, bare-metal, and AI infrastructure. Build detection rules, response playbooks, SOAR pipelines, and AI-powered investigation workflows; conduct complex incident investigations, harden systems, improve telemetry, participate in on-call operations, perform post-incident reviews, and mentor security engineers.

Advises on enterprise AI security across the model and agent lifecycle. Responsibilities include AI-BOM and AI-SPM governance, pre- and post-production model scanning, CI/CD security gates, AI asset inventory, SaaS agent security, Shadow AI discovery, threat modeling, remediation tracking, application-level troubleshooting, and documentation of security policies, standards, and runbooks.

Own runtime protection for agentic and AI traffic by deploying and configuring AI gateways, Prisma AIRS, Google Model Armor, DLP controls, and Koi integrations. Define policies for agent personas, prevent sensitive-data exfiltration, address OWASP risks, and embed security controls in agents and MCPs. Troubleshoot application-level incidents, support production deployments, and document architectures, policies, and runbooks while advising multiple teams.

Leads and improves enterprise cyber defense through threat intelligence, vulnerability management, incident response readiness, detection engineering, adversary emulation, security technology operations, and security awareness. Analyzes organizational exposure, prioritizes risk reduction, tunes cybersecurity tools and workflows, validates detections, coordinates incident response, communicates risk to stakeholders, mentors peers, and leads cybersecurity improvement projects.

Owns and improves Microsoft security platforms across Azure, Microsoft 365, and hybrid infrastructure. Implements Zero Trust, identity, endpoint, application, cloud, and data security controls; develops automation with PowerShell, Graph, KQL, APIs, Bicep, and Terraform; integrates security telemetry; supports detection and incident response; documents controls for audits and compliance; mentors engineers and partners with platform teams.

Leads application security testing across the software development lifecycle, identifying vulnerabilities and secure coding weaknesses through SAST, DAST, SCA, threat modeling, penetration testing, and API assessments. Recommends remediation, communicates risks, automates security processes, and supports secure design across applications, cloud environments, vendors, and third-party solutions. Leads AI security initiatives involving LLM threat modeling and supply-chain reviews, trains developers, and monitors emerging security threats.

Own and execute the application security program, including SIEM management, threat detection, architecture and code reviews, vulnerability management, security testing, incident response, forensic investigations, and security tooling. Partner with engineering and infrastructure teams to remediate vulnerabilities, promote secure coding, develop training, and improve enterprise security through cloud, container, compliance, and monitoring practices.

Provides technical leadership for enterprise AI security, designing secure AI platform architectures, vetting frameworks, identity and posture management for AI agents, and preventative security guardrails. The role requires building scalable security systems with Python, Go, or Java, managing infrastructure as code, addressing cloud and container security, mentoring engineers, and advising leadership on AI security risks.

Provides pre-sales technical support and technical account management for Vectra’s cybersecurity platform. Leads customer discovery, product demonstrations, proofs of concept, technology reviews, integrations, and security architecture discussions. Builds technical relationships with customers and channel partners, supports sales teams, collaborates on deployments and product projects, and maintains expertise in security technologies, networking, cloud security, attacker progression, incident response, and competitive offerings. Regional travel is required as needed.

Designs, deploys, troubleshoots, and supports enterprise network and security infrastructure, including routing, switching, firewalls, wireless, cloud networking, VPNs, and data center services. The role analyzes operational incidents, implements remediation, maintains documentation, communicates with management, supports roadmap decisions, and participates in on-call rotations. It requires extensive experience with multi-vendor network security technologies, cloud platforms, and customer-facing technical work.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

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.

Investigate, assess, and remediate vulnerabilities across NVIDIA data center platforms. Responsibilities include vulnerability triage, exploitability analysis, CVSS and CWE assessment, security fixes, regression testing, dependency updates, automation, and coordinated disclosure. The role also improves secure development lifecycle practices through threat modeling, security reviews, testing, and security automation while collaborating across distributed engineering teams.

Lead application and infrastructure security for LiteLLM, focusing on Python code reviews, vulnerability remediation, threat modeling, secure development tooling, CI/CD and supply-chain security, cloud and IT controls, incident response, and LLM-specific attack testing. Partner closely with engineers to strengthen authentication, authorization, tenant isolation, secrets management, deployment security, monitoring, vulnerability management, and disclosure processes.

Lead design and implementation of security systems and controls for large-scale AI and HPC cluster infrastructure. Drive incident response, risk assessment, system hardening, governance, audit readiness, and cross-team collaboration to protect hardware, software, and datacenter platforms.

Lead developer advocacy for AI and agentic security: advise security companies, accelerate NVIDIA stack adoption, guide partner integrations, map ecosystems, collaborate cross-functionally, run community events, and feed product teams with field insights.

Lead founding AI Safety & Security Engineering team, define harness architecture and engineering standards, drive Find/Validate/Patch roadmap, mentor engineers, and translate research into production-grade, secure ML systems.