Fireworks AI

Fireworks AI

Security Engineer

San Mateo, CA

Sponsorship not specified$180k-$220kDetected 39 days ago
PythonNode.jsGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsCircleCILinuxRESTOAuthMachine LearningPyTorchLLMsCybersecuritySOC OperationsDetection EngineeringIncident ResponseCompliance

About the role

  • Security is the foundation of trust in AI systems.
  • As the Security Engineer at Fireworks AI, you will play a key role in designing, implementing and operating security controls across AI infrastructure, AI platforms and internal systems.
  • As more organizations rely on large language models and cloud-native AI services, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure is paramount.

Responsibilities

  • Design and build security-focused software and platform capabilities to protect customer data, models, and services across our multi-cloud infrastructure, including encryption, identity and access management, secure API gateways, secure model execution, and sandboxing strategies.
  • Perform security reviews of cloud-native architectures-including Kubernetes clusters, multi-cloud workloads, and distributed data stores-and build integrated systems for continuous security monitoring, anomaly detection, and automated response.
  • Embed security into CI/CD pipelines using a DevSecOps approach, implementing automated scanning, policy enforcement, and secure-by-default build and deployment workflows.
  • Apply a build-over-buy philosophy by designing and developing in-house security tooling and automation where it provides better control, scalability, and integration than off-the-shelf solutions.
  • Build and operate a comprehensive vulnerability management program, partnering with various teams to remediate risks across applications, containers, cloud infrastructure, and dependencies.
  • Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
  • You will work closely with the multiple teams to strengthen our security posture and support our rapid growth.
  • Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Requirements

  • 3 to 7 years of experience in software engineering or security engineering with a strong focus on security, infrastructure, or cloud-native systems.
  • Proficient in Python and/or Go with experience in designing production-grade systems.
  • Hands-on experience with Kubernetes, Docker, and containerized production environments
  • Familiarity with security tooling in managed CI/CD environments (e.g., GitHub Actions, Harness, CircleCI).
  • Solid experience working in Linux environments, including system administration, debugging, and automation via command-line tooling.
  • Familiarity with modern identity and access controls (SAML, OAuth, OIDC, SSO, RBAC/ABAC).

Nice to have

  • Experience designing secure multi-cloud deployments and zero-trust architectures.
  • Experience designing, operating, and securing large-scale Kubernetes platforms, including control plane security, node hardening, and multi-tenant isolation.
  • Experience designing, operating, and securing large-scale multi-cloud platforms across AWS, GCP, Azure, Oracle Cloud, and GPU as service cloud providers.
  • Proficiency with infrastructure-as-code using Terraform and Python, including experience building modular policy-as-code frameworks.
  • Strong understanding of data protection techniques, including encryption at rest/in transit, tokenization, key management, and confidential computing.
  • Experience integrating security into microservice architectures, service meshes, and distributed systems.
  • Hands-on experience securing LLM/ML platforms, model inference infrastructure, GPU clusters, or data labeling pipelines.
  • Experience designing detection engineering pipelines across cloud audit logs, network telemetry, and application signals.

Compensation

  • $180,000 - $220,000 USD

Benefits

  • Range (Plus Equity)

Company info

  • At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
  • The Role:
  • Security is the foundation of trust in AI systems. As the Security Engineer at Fireworks AI, you will play a key role in designing, implementing and operating security controls across AI infrastructure, AI platforms and internal systems. You will work closely with the multiple teams to strengthen our security posture and support our rapid growth. As more organizations rely on large language models and cloud-native AI services, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure is paramount. This role plays a critical part in building that trust by designing and embedding security across layers of our technology stack.
  • At Fireworks, we're building the future of generative AI infrastructure.
  • Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry.
  • We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models.
  • Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic.
  • We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
  • This role plays a critical part in building that trust by designing and embedding security across layers of our technology stack.
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This listing is sourced directly from Fireworks AI's careers page and normalized into a canonical job model.