MTS, Security
Fireworks AI8 months ago
San Mateo, CA, USAMid Level / Senior
H1B sponsor
Base Salary
$180k - $220k/yr
Responsibilities
- Design and build security capabilities for encryption, identity and access management, secure API gateways, model execution, sandboxing, and protection of customer data, models, and services.
- Review Kubernetes, multi-cloud, and distributed-data-store architectures and build continuous monitoring, anomaly detection, and automated response systems.
- Embed automated scanning, policy enforcement, and secure-by-default workflows into CI/CD pipelines using DevSecOps practices.
- Develop in-house security tooling and automation where it offers better control, scalability, or integration than third-party tools.
- Build and operate vulnerability management across applications, containers, cloud infrastructure, and dependencies.
- Operate security functions including detection engineering, alert triage, incident response, red/blue team exercises, tabletop simulations, and post-incident reviews.
- Embed SOC 2, ISO 27001, ISO 42001, HIPAA, PCI-DSS, and GDPR controls into infrastructure and product layers.
Requirements
- 3 to 7 years of software engineering or security engineering experience focused on security, infrastructure, or cloud-native systems.
- Proficiency in Python and/or Go and experience designing production-grade systems.
- Strong understanding of GCP cloud-native security, including network segregation, authentication, authorization, encryption, data protection, intrusion detection, and security benchmarks.
- Hands-on experience with Kubernetes, Docker, and containerized production environments; deep Kubernetes internals and native security controls are a plus.
- Familiarity with managed CI/CD security tooling such as GitHub Actions, Harness, or CircleCI.
- Experience working in Linux environments with system administration, debugging, and command-line automation.
- Familiarity with SAML, OAuth, OIDC, SSO, RBAC, and ABAC.
- Preferred experience with secure multi-cloud deployments, zero-trust architectures, and large-scale Kubernetes platforms.
- Preferred experience securing AWS, GCP, Azure, Oracle Cloud, GPU clusters, LLM/ML platforms, model inference infrastructure, or data labeling pipelines.
- Preferred experience with Terraform, policy-as-code, data protection, confidential computing, service meshes, distributed systems, IAM/PAM, vulnerability remediation, software supply chain security, detection engineering, incident response automation, and compliance tooling.
Benefits
- Work on frontier AI infrastructure and production model serving.
- Collaborate with engineers and AI researchers in a fast-growing, collaborative environment.
- Equal-opportunity employer committed to diversity and inclusion.
Tech Stack
AWSAzureCircleCIDockerGitHub ActionsGoGoogle Cloud PlatformKubernetesLinuxOracle CloudPythonTerraform
Categories
About Fireworks AI
Fireworks AI builds a generative AI platform for developers and enterprises to train, fine-tune, and serve open models for production use across text, image, audio, embeddings, and multimodal workloads. It offers managed inference and tooling via APIs on globally distributed infrastructure, with a usage-based SaaS model. Founded in 2022 and headquartered in San Mateo, CA, Fireworks AI is a privately held, Series D company.