Enterprise Platform Architect: Scale, Reliability & AI

Polluxa, Inc.; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Polluxa, Inc. is seeking an experienced Enterprise Platform Architect to advance availability, reliability, scalability, performance, and cost-efficiency of our AI-enabled platform.

You will collaborate across Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to set measurable requirements and define architectural improvements. You will identify bottlenecks, design redundancy, failover, and recovery mechanisms, lead capacity planning, and establish production-readiness metrics to

Responsibilities

• Define measurable availability, resilience, and recovery requirements.
• Architect for failures across infrastructure, APIs, databases, external dependencies, and AI models.
• Design redundancy, failover, retries, timeouts, graceful degradation, and recovery mechanisms.
• Identify and eliminate critical single points of failure.
• Establish resilience, failover, and recovery testing with clear production-readiness metrics.
• Identify gaps, drive remediation, and validate readiness for enterprise production.
• Define measurable targets for throughput, concurrency, latency, document size, storage growth, and model capacity.
• Architect the platform to scale predictably across customers, workloads, and data volumes.
• Lead capacity planning across compute, storage, databases, networking, and AI infrastructure.
• Establish load, stress, endurance, and performance-testing standards.
• Identify and eliminate architectural and performance bottlenecks.
• Maintain performance benchmarks and ensure the platform meets enterprise production readiness.

Job description

Polluxa, Inc. is seeking an experienced Enterprise Platform Architect to advance availability, reliability, scalability, performance, and cost-efficiency of our AI-enabled platform.

You will collaborate across Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to set measurable requirements and define architectural improvements. You will identify bottlenecks, design redundancy, failover, and recovery mechanisms, lead capacity planning, and establish production-readiness metrics to