Evolver

Evolver

Enterprise Platform Architect

Palo Alto, CA · Senior

Sponsorship not specifiedDetected 44 days ago
Distributed SystemsAzureCloud PlatformsDevOpsMachine LearningLLMs

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

40% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Dodge & Cox (client)

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are looking for an experienced Enterprise Platform Architect to further push the availability, reliably, scalability, performance, and cost efficiency of our platform.

Responsibilities

  • Design redundancy, failover, retries, timeouts, graceful degradation, and recovery mechanisms.
  • Identify gaps, drive remediation, and validate readiness for enterprise production.
  • Define measurable targets for throughput, concurrency, latency, document size, storage growth, and model capacity.
  • Lead capacity planning across compute, storage, databases, networking, and AI infrastructure.
  • Maintain performance benchmarks and ensure the platform meets enterprise-scale requirements before production.
  • Optimize model selection, routing, caching, batching, and reuse.

Requirements

  • 10+ years of experience architecting and building enterprise SaaS platforms or similarly complex production systems.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Skills

  • Deep expertise in distributed systems, reliability, scalability, performance, and cloud architecture.
  • Strong experience with Azure or other hyperscale cloud platforms.
  • Strong understanding of databases, APIs, net

Company info

  • We are transforming core enterprise functions by combining frontier AI, strong engineering, and deep domain expertise. Our platform is used by a growing number of Fortune 1000 companies to execute complex, high-value work.
  • We are building enterprise AI for environments where accuracy, reliability, security, scalability, and economics matter.
  • You will work across Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to establish measurable requirements, identify architectural platform bottlenecks and opportunities, and define enhancements.
  • We are transforming core enterprise functions by combining frontier AI, strong engineering, and deep domain expertise.
  • Our platform is used by a growing number of Fortune 1000 companies to execute complex, high-value work.
  • Role Overview
  • Architect the platform to scale predictably across customers, workloads, and data volumes.

This listing is sourced directly from Evolver's careers page and normalized into a canonical job model.