Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Software Engineer – Platform Security role.
Rezi rewrites your resume against FriendliAI's job description. Free.
Tailor your resume to this Software Engineer – Platform Security role.
Rezi rewrites your resume against FriendliAI's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Software Engineer – Platform Security posting at FriendliAI — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Software Engineer – Platform Security posting at FriendliAI — free, in seconds.
About the Role
FriendliAI is seeking an engineer to architect and build the security foundations of a multi-tenant serverless compute platform on Kubernetes. This role involves owning security design, implementing guardrails as code, and ensuring a secure-by-default developer experience.
Responsibilities
- Design and implement the security architecture for a Kubernetes-based, multi-tenant serverless platform.
- Build guardrails as code using Terraform and Helm.
- Establish network segmentation and service-mesh policy.
- Develop secrets and key management patterns.
- Implement runtime detections for containerized workloads.
- Design and roll out IAM & workload identity management.
- Threat model new features and changes to the overall platform.
- Collaborate with engineering to debug production issues, lead post-incident hardening, and automate evidence for compliance controls.
Requirements
- 5+ years securing cloud-native platforms with a focus on distributed systems and multi-tenancy.
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
- Strong hands-on experience with AWS (IAM, VPC/networking, logging/monitoring, …) and Kubernetes/container security.
- Proficiency with Terraform and Helm.
- Experience building or operating runtime detections for containers/functions.
- Strong technical background in backend systems, cloud infrastructure, or AI tooling.
- Clear written and verbal communication; ability to translate pricing/business rules into robust systems.
Skills
- AWS
- Kubernetes
- Terraform
- Helm
- Container security
- IAM
- VPC/networking
- Logging/monitoring
- Backend systems
- Cloud infrastructure
- AI tooling
- Knative
- Container hardening
- Sandboxing
- Policy-as-code
- Admission policy
- eBPF-based observability
- Multi-cloud
- Cross-cloud identity
- SOC 2
- HIPAA
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years
Education Level
- Bachelor's degree
- Master's degree
Benefits
- Flexible working hours
- Daily lunch and dinner provided
- Unlimited snacks and beverages
- Supportive and highly collaborative work environment
- Health check-up support
- Top-tier equipment/hardware support
- A front-row seat to the generative AI infrastructure revolution
- Competitive compensation
- Startup equity
- Health insurance
About the Company
- FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale.
- We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models.
- We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology.
- With our world-class inference engine, we are building a platform that the AI industry can actually rely on.