MTS, Security

Fireworks; San Mateo (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Fireworks AI is seeking a Security Engineer to design, implement, and operate security controls across AI infrastructure and internal systems. You will work with multiple teams to strengthen security posture and enable rapid growth in a multi-cloud environment.

The role emphasizes building security into CI/CD, protecting data and models, and implementing vulnerability management and incident response programs. Experience with Kubernetes, cloud platforms, and secure software design is essential.

Qualifications

• 3 to 7 years of experience in software engineering or security engineering.
• Proficient in Python and/or Go with experience in designing production-grade systems.
• Strong understanding of cloud-native architectures using GCP, incl. network segregation, authentication, authorization, encryption, data protection, intrusion detection, and cloud-specific security benchmarks.

Responsibilities

• Design and build security-focused software and platform capabilities to protect data, models, and services across multi-cloud infrastructure.
• Perform security reviews of cloud-native architectures including Kubernetes clusters and multi-cloud workloads.
• Embed security into CI/CD pipelines using a DevSecOps approach with automated scanning and policy enforcement.
• Develop in-house security tooling and automation where beneficial for control and scalability.
• Build and operate a vulnerability management program with remediation across apps, containers, and cloud infra.
• Operate security operations including detection engineering, incident response and post-incident reviews.
• Participate in red/blue team exercises and post-incident root cause analysis.
• Embed compliance controls into infrastructure and product layers (SOC 2, ISO 27001, GDPR, PCI-DSS).

Skills

Python

Go

Kubernetes

Docker

Linux

Tools

GitHub Actions

Harness

CircleCI

Terraform

Job description

About Us:

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise 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.

Key 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.
• Operate and continuously improve security operations, including detection engineering, alert triage, incident response, and continuous improvement through post-incident reviews.
• Participate in red/blue team exercises, tabletop simulations, and post-incident root cause analysis to strengthen security resilience.
• Embed compliance and regulatory controls into infrastructure and product layers (e.g., SOC 2, ISO 27001, ISO42001, HIPAA, PCI-DSS, GDPR).

Minimum qualifications:

• 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.
• Strong understanding of cloud-native architectures using GCP, particularly in the area of network segregation, authentication, authorization, encryption, data protection, intrusion detection, and cloud-specific security benchmarks.
• Hands-on experience with Kubernetes, Docker, and containerized production environments; deep knowledge of Kubernetes internals and native security controls is a strong plus.
• 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).

Preferred qualifications:

• 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.
• Experience building large-scale IAM and PAM platforms using least-privilege, workload identity, and just-in-time access.
• Familiarity with container image vulnerability remediation, security, SBOM generation, and software supply chain security.
• Experience building, implementing and operating security automation platforms for incident response and security operations.
• Familiarity with compliance tooling and frameworks (e.g., Vanta, SOC 2, ISO 27001, ISO 42001, PCI-DSS).

Why Fireworks?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.