Member of Technical Staff - Infrastructure Security
About The Position
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. Reflection.AI is looking for a Member of Technical Staff - Infrastructure Security to secure our geographically diverse multi-cloud Kubernetes and cloud environments. In this role, you’ll be expected to jump head first into the hands-on engineering work of building infrastructure security controls from the ground up, outline a long term infrastructure security vision that ensures the security and integrity of our core technology, and define the roadmap that will fulfill your vision.
Requirements
- Deep experience securing Kubernetes clusters and hardening containerized workloads
- Understanding of managed Kube cluster services such as GKE
- Comfort working with CI/CD systems such as ArgoCD
- Familiarity with Kubernetes orchestration systems such as Rancher and Helm
- Experience hardening artifact repositories to ensure secure build artifact provenance spanning image builds, storage, and deployment
- Comfort defining and implementing concrete security improvements based on nebulous or unclear security requirements
- Experience working with infrastructure-as-code systems such as Terraform or Pulumi
- Experience working with major cloud providers such as GCP, AWS, and/or Azure
- Experience working with neocloud GPU providers such as VoltagePark, GMI Cloud, Crusoe, Anyscale, Together.ai, etc.
- Experience coding with Python or Golang
- Recent hands-on engineering experience
- Proven track record of building infrastructure security controls from 0 to 1
Responsibilities
- Audit and harden geographically disparate multi-cloud Kubernetes clusters
- Unify and harden authentication across Kubernetes clusters
- Design and implement centralized, auditable Kubernetes authorization policy enforcement
- Automate monitoring and benchmarking of Kube cluster security posture
- Develop defense-in-depth security boundaries around containerized workloads in Kubernetes clusters
- Build and deploy automated tooling to support incident detection & response for Kubernetes clusters and containerized workloads
Benefits
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
