5 часов назад
Staff Platform Engineer, AI Agent Infrastructure & Security
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Platform Engineer, AI Agent Infrastructure & Security (Kubernetes/GCP): Building and operating Maestro's secure multi-tenant runtime and control plane for per-user AI agents with an accent on Kubernetes isolation, identity, credentials, and auditability. Focus on hardening adversarial agent workloads, operating 500+ private GKE pods, and designing reliable fleet infrastructure, observability, and human-in-the-loop guardrails.
Location: US; remote
Company
is building a fintech ecosystem for Latin immigrants in the U.S., starting with AI-powered WhatsApp remittances and using blockchain and stablecoins for cross-border payments.
What you will do
- Architect, build, and operate Maestro's multi-tenant control plane and per-user runtime on private GKE.
- Implement Kubernetes operators, Helm charts, gVisor sandboxing, Workload Identity, network policies, and per-user isolation.
- Own the security model for identity separation, short-lived credentials, OAuth token storage, zero-credential egress, and adversarial AI workloads.
- Operate a fleet of 500+ pods with health monitoring, scale-to-zero, resource packing, reliability, and recovery tooling.
- Drive Terraform infrastructure, CI/CD, progressive delivery, and production observability across GCP services.
- Build audit pipelines, human approval flows, guardrails, and governed integrations with agent gateways, tool wrappers, and model-routing systems.
Requirements
- 8+ years of software or infrastructure engineering experience owning large-scale, security-critical distributed systems.
- Deep production Kubernetes experience with operators, CRDs, controller-runtime, Helm, runtime isolation, multi-tenancy, and fleet operations.
- Strong cloud-native architecture on GCP or another major cloud, with Terraform and production infrastructure ownership.
- Applied security expertise covering SPIFFE or Workload Identity, Istio mTLS, OAuth 2.0/OIDC, token exchange, KMS encryption, least privilege, and zero trust.
- Excellent Go and/or Python skills, plus production observability, OpenTelemetry, SLOs, incident response, and cost/performance engineering experience.
- Hands-on experience with production LLM or agent systems, tool calling, orchestration, human-in-the-loop workflows, model routing, and guardrails.
Nice to have
- Experience securing and operating agentic AI architectures rather than researching models.
- Experience with OpenClaw, Hermes, or similar open-source tool-calling frameworks.
Culture & Benefits
- Remote work in a hyper-growth, early-stage environment with high autonomy and a bias toward action.
- Initial stock options grant and annual performance bonus.
- Health, dental, and vision plans, plus a 401(k) with employer match.
- Unlimited PTO and paid parental leave.
- Continuous learning and growth opportunities.
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