Enterprise Platform Architect - Hybrid, AI Platform Leader

evolver

Palo Alto (CA)

On-site

USD 190,000 - 270,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Hybrid work
Career growth
Innovative culture

Job summary

evolver is seeking an experienced Enterprise Platform Architect to enhance availability, reliability, scalability, performance, and cost efficiency of our enterprise AI platform. You will collaborate with Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to set measurable requirements, identify bottlenecks, and define platform enhancements.

You will lead architecture across compute, storage, databases, networking, and AI infrastructure, establishing resilience, testing readiness, and

Qualifications

  • 10+ years of experience architecting enterprise SaaS platforms or similar complex production systems.
  • Bachelor's or Master's in Computer Science, Engineering, or a related field.

Responsibilities

  • Define availability, resilience, and recovery requirements.
  • Architect for failures across infra, APIs, databases, dependencies, and AI models.
  • Design redundancy, failover, retries, timeouts, graceful degradation, and recovery mechanisms.
  • Identify and eliminate single points of failure; validate production readiness.
  • Lead capacity planning across compute, storage, databases, networking, and AI infrastructure.
  • Establish performance benchmarks and ensure enterprise-scale readiness before production.
  • Drive cost-efficiency by optimizing workloads and resources.

Skills

Distributed systems
Reliability engineering
Cloud architecture
Azure
APIs & microservices
Observability & SRE
Leadership

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes
Docker
Terraform
Git

Job description

evolver is seeking an experienced Enterprise Platform Architect to enhance availability, reliability, scalability, performance, and cost efficiency of our enterprise AI platform. You will collaborate with Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to set measurable requirements, identify bottlenecks, and define platform enhancements.

You will lead architecture across compute, storage, databases, networking, and AI infrastructure, establishing resilience, testing readiness, and

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