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

Open nowPosted 9 hours agoWe saw it 55 min after it went up

Platform Architect

Embedding VC41 open roles

Where
San Francisco Bay Area
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowPlatform ArchitectEmbedding VC · San Francisco Bay Area

  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 Embedding VC'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.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Embedding VC postings stay open a median of 17 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 9 hours ago

Embedding VC median: 17 days open

The posting

About the Role

The company operates 2000+ microservices deployed across dozens of compliance-regulated sites globally. They are transforming this into a modular financial cloud platform — organizing services into 50-100 independently versioned business modules, where each compliance site is a version set (a pinned, validated combination of module versions).

As Platform Architect, you will own the version engineering and module governance architecture — the system that ensures every deployment is reproducible, every change's blast radius is computable, and every site composition is a known-good state. This is fundamentally a build systems + dependency management + change propagation problem at financial-grade reliability.

Key Responsibilities

- Design the version set model: each site defined as a locked, tested combination of module versions (analogous to a Bazel workspace snapshot or Cargo.lock), with version compatibility matrices and automatic constraint solving

- Architect reproducible build pipelines: any module at any version produces byte-identical artifacts regardless of when/where it's built; hermetic build environments, content-addressable artifact storage, SLSA Level 3+ provenance

- Build and maintain the live dependency graph spanning 2000+ services: static analysis (code/API/schema) + runtime analysis (traffic-weighted call patterns), transitive dependency resolution with automatic conflict detection

- Design the monorepo + package ownership governance model: clear module boundaries via DDD, CODEOWNERS enforcement, cross-module change protocols, module boundary enforcement tooling (lint rules, CI checks, architectural fitness functions)

- Architect change impact analysis systems: given any PR, compute which modules/sites/tests are affected; selective test execution (run only dependency-graph-proven relevant tests); change confidence scoring (blast radius + coverage + stability → risk grade)

- Design the GitOps-driven multi-site deployment model: site config repos declaring module versions + compliance parameters, automated deployment strategies (patch auto-deploy, minor with review, major with migration plan, security force-push)

- Architect the four-layer testing framework: Module self-test → Platform compliance tests (parameterized by country) → Cross-module integration tests → Site-specific tests, with automated coverage enforcement that blocks deployments when gaps are detected

Major Requirements

- 10+ years in large-scale distributed systems / platform infrastructure

- Deep expertise in build systems and dependency management at scale: Bazel, Buck, Pants, Nx, or equivalent (1000+ packages)

- Production experience with reproducible build engineering: content-addressable storage, hermetic builds, deterministic CI, artifact provenance (SLSA)

- Experience building dependency graph tooling: static/runtime dependency analysis, impact computation, selective testing

- Strong background in semantic versioning governance across large service fleets: version resolution, compatibility constraints, lockfile-style pinning

- Experience with API contract evolution: protobuf/gRPC versioning, schema evolution strategies, contract testing

- Experience with multi-region/multi-tenant platform architectures serving regulated workloads

- Track record of migrating monolithic systems to modular architectures without business disruption

- Preferred: Experience with Amazon's internal VersionSet / Brazil build system / Apollo deployment, or similar systems at Google (Blaze/Bazel), Meta (Buck/Configerator)

- Preferred: Background at Stripe or Adyen — multi-country financial platform with compliance parameterization

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 Embedding VC'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 Embedding VC'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

    Embedding VC'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.