Member of Technical Staff, Cloud & Infrastructure Security
Fireworks AI · San Mateo · Greater Seattle Area · New York · United States, Remote
CHECKED 38M AGO
Infrastructureremotemid-level$180k–$220k
At a glance
Highlights
- Build security controls to protect customer data and AI models at scale.
- Strengthen trust in AI by embedding security across inference infrastructure.
- Tackle low-latency inference and scalable model serving challenges.
Ideal candidate
Security-minded builder with 3-7 years securing cloud-native systems who loves building in-house tooling and embedding security into fast-moving AI platforms.
Requirements
- 3 to 7 years of experience in software engineering or security engineering with focus on security, infrastructure, or cloud-native systems
- Proficient in Python and/or Go with experience designing production-grade systems
- Strong understanding of cloud-native architectures using GCP including network segregation, authentication, authorization, encryption, data protection and intrusion detection
- Hands-on experience with Kubernetes, Docker and containerized production environments
- Familiarity with security tooling in managed CI/CD environments such as GitHub Actions, Harness and CircleCI
- Solid experience working in Linux environments including system administration, debugging and automation
- Familiarity with modern identity and access controls including SAML, OAuth, OIDC, SSO and RBAC/ABAC
- Experience designing secure multi-cloud deployments and zero-trust architectures
- Experience designing, operating and securing large-scale multi-cloud platforms across AWS, GCP, Azure, Oracle Cloud and GPU clouds
- Proficiency with infrastructure-as-code using Terraform and Python including policy-as-code frameworks
- Strong understanding of data protection including encryption at rest/in transit, tokenization, key management and confidential computing
- Hands-on experience securing LLM/ML platforms, model inference infrastructure, GPU clusters or data labeling pipelines
- Experience building large-scale IAM and PAM platforms using least-privilege, workload identity and just-in-time access
- Familiarity with container image vulnerability remediation, SBOM generation and software supply chain security
Lab profile
About Fireworks AI
Platform for specialized intelligence to build, train, and serve tailored AI models.
What they build
- Platform to build, train, and serve tailored AI models
- Hundreds of open models for production AI
- Text, image, embedding, audio, and multimodal models
Known for
- Founded by team behind PyTorch
- Specialized intelligence tailored to customer data and workflows
- Production-grade AI for text, image, audio, and multimodal workloads
Key facts
- Backed by AMD, NVIDIA, Sequoia Capital, Benchmark Capital, Index Ventures, Lightspeed, TCV, and Atreides