Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 71 days ago

Enterprise Platform Architect

Evolver20 open roles

Where
Palo Alto, CA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowEnterprise Platform ArchitectEvolver · Palo Alto, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Evolver's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Evolver postings stay open a median of 61 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 71 days ago

Evolver median: 61 days open

The posting

About Us

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.

Role Overview

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

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.

Responsibilities

Availability & Resilience

  • 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.

Scalability & Performance

  • 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-scale requirements before production.

Cost Efficiency

  • Define and track platform unit economics, including cost per transaction, workflow, and AI execution.
  • Establish cost targets and identify the primary drivers of platform economics.
  • Optimize model selection, routing, caching, batching, and reuse.
  • Move workloads from expensive LLM reasoning to code, ML, smaller models, or deterministic systems where appropriate.
  • Improve infrastructure utilization and eliminate unnecessary computation.
  • Ensure the platform remains economically viable as workload volume and complexity scale.

Qualifications

Experience: 10+ years of experience architecting and building enterprise SaaS platforms or similarly complex production systems.

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Technical 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, networking, storage, containers, and distributed compute.
  • Familiarity with AI/LLM infrastructure, model APIs, inference architectures, and AI economics.
  • Experience with observability, load testing, capacity planning, resilience engineering, and disaster recovery.
  • Ability to make sound architectural tradeoffs across reliability, performance, complexity, and cost.
  • Ability to lead architecture and drive execution across multiple engineering teams.

Benefits

  • Competitive Compensation: Tailored to your experience and skill set.
  • Flexible Work Arrangements: Hybrid working model for work-life balance.
  • Career Growth: Opportunities for professional development and leadership roles.
  • Innovative Culture: Work on transformative technologies and make an impact in the AI space.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Evolver's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Evolver's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Evolver's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.