Member of Technical Staff - Infrastructure Security

Reflection AI
San Francisco
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Kubernetes","CI/CD","ArgoCD","Rancher","Helm","Terraform","Pulumi","Python","Golang","GKE","AWS","GCP","Azure"]

Role focuses on securing Kubernetes-based multi-cloud environments, building infrastructure security controls from the ground up, and defining a long-term security roadmap. You’ll audit, harden, and govern clusters across clouds, implement centralized policy enforcement, automate posture monitoring, and develop incident detection tooling for containerized workloads in a highly distributed setup.

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FursaFursa
Reflection AI
Reflection AI
5 months ago

Member of Technical Staff - Infrastructure Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Role focuses on securing Kubernetes-based multi-cloud environments, building infrastructure security controls from the ground up, and defining a long-term security roadmap. You’ll audit, harden, and govern clusters across clouds, implement centralized policy enforcement, automate posture monitoring, and develop incident detection tooling for containerized workloads in a highly distributed setup.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key 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

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocationEquity

Key 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
  • •Experience coding with Python or Golang
  • •Recent hands-on engineering experience
  • •Proven track record of building infrastructure security controls from 0 to 1
Experience:Infrastructure securityKubernetesCloud securityDevOpsCloud providers
Skills:KubernetesCI/CDArgoCDRancherHelmTerraformPulumiPythonGolangGKEAWSGCPAzure
Tech Stack:KubernetesGKEArgoCDRancherHelmTerraformPulumiPythonGolangAWSGCPAzure

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
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