Senior Member of Technical Staff (Cloud Platform)
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Описание вакансии
TL;DR
Senior Member of Technical Staff (Cloud Platform): Own end-to-end architecture and evolution of multi-tenant SaaS platform at the intersection of backend engineering and cloud infrastructure with an accent on control plane, data plane, and hybrid cloud environments. Focus on designing tenant isolation, cluster orchestration with Kubernetes, high-throughput data paths, and self-service APIs while ensuring scalability, security, and AI-augmented engineering practices.
Location: Hybrid in Mountain View, CA, US with 2-3 days in office per week
Salary: $175K – $220K per year (California)
Company
is an AI-powered analytics platform that enables enterprises to analyze data with natural language search and transform insights into action.
What you will do
- Own architecture for multi-tenant cloud platform spanning control and data planes across AWS, GCP, Azure, and on-premises.
- Design tenant provisioning, lifecycle management, cluster orchestration, and self-service APIs.
- Build high-throughput data paths with strong isolation, security, and resource governance.
- Drive architectural reviews, RFCs, coding standards, and partner with SRE/DevOps on observability and capacity planning.
- Mentor engineers and set technical direction for the platform team.
Requirements
- Hands-on experience building/operating multi-tenant SaaS platforms at scale (silo/pool models, noisy neighbor mitigation, quotas, lifecycle automation)
- Knowledge of data isolation (schema-per-tenant, row-level security, encryption)
- Proven control/data plane experience with Kubernetes (operators, CRDs, webhooks, RBAC).
- Deep expertise in AWS/GCP/Azure (VPC, IAM, EKS/GKE/AKS, Terraform/Pulumi).
- Distributed systems fundamentals (HA, observability with OpenTelemetry/Prometheus, zero-trust security).
- Actively use AI coding assistants (Claude, Cursor, Copilot) for infrastructure tasks and evaluate AI outputs
- AI literacy: integrate AI into workflow, craft prompts, use for research/content with critical judgment
Nice to have
- FinOps practices.
- Observability platforms (Grafana, Datadog, logging/tracing).
- Open-source infrastructure contributions.
Culture & Benefits
- Equity, company bonus, 401(k), medical/dental/vision benefits.
- Hybrid work balancing in-office collaboration (2-3 days/week) with flexibility.
- Culture of trust, customer obsession, innovation, intensity; diverse teams.
- AI mindset emphasis with training/resources for tools like Spotter.
- Focus on data-driven decisions and fact-based world.
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