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

Open nowPosted 392 days ago

Backend Developer (Founding Team)

gradientflo19 open roles

Pay
$32,000 – $40,000 a yearly
Where
Hyderābād, India
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowBackend Developer (Founding Team)gradientflo · Hyderābād, India

  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 gradientflo'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.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 392 days ago

The posting

Role Overview

You will own Vibecoderz’ engine room. Every interaction the TutorAgent orchestrates, every artifact generated, every certification issued — it all runs through your services. From Firestore schemas to FastAPI microservices and background workflows, you’ll design and build the backbone that powers Superficient Learning for developers worldwide.

This role goes beyond writing APIs — you will define system contracts, data models, and scalability patterns that allow Vibecoderz to serve 100K+ concurrent learners with sub-100ms latency. You’ll work in lockstep with FE, AI, Prompt, and DevOps to ensure the platform’s foundation is secure, performant, and future-proof.

You’ll use Linear for sprints, Notion for PRDs, and GitHub for repos, collaborating across the team to make backend decisions visible, reproducible, and accountable.

Key Responsibilities

  1. Service Architecture & APIs - Design, build, and maintain FastAPI microservices with clean modular boundaries.
  2. Data Modeling & Schemas - Define Firestore schemas for users, courses, artifacts, results, and certifications. Manage Neo4j Developer Graph integration.
  3. Asynchronous Workflows - Implement Cloud Tasks + Cloud Workflows for long-running jobs (certificate generation, artifact rendering, learner graph updates).
  4. Commercial Layer - Integrate Stripe (subscriptions) and SendGrid (transactional email) via Firebase extensions. Ensure compliance with billing and audit standards.
  5. Performance & Scale - Optimize services for high throughput with async I/O. Achieve <100ms API response time under load.
  6. API Gateway & Security - Expose services through GCP API Gateway with JWT verification, rate limiting, and role-based access.
  7. CI/CD Pipelines - Collaborate with DevOps to maintain GitHub Actions pipelines for automated testing, containerization, and deployment to Cloud Run.
  8. Testing & Reliability - Write integration tests, contract tests, and load tests. Ensure regression-free releases.
  9. Monitoring & Observability - Instrument services with OpenTelemetry for distributed tracing, logging, and metrics. Ensure failures are detectable and recoverable.
  10. Cross-Team Collaboration - Work closely with PM to refine PRDs in Notion, track sprint execution in Linear, and align with AI/FE on contract stability.
  11. Problem Solving - Anticipate bottlenecks (data modeling, latency, scaling) and propose architectural solutions.

Success Metrics

90 Days (Probation):

  • Deploy FastAPI → Cloud Run service with API Gateway routing.
  • Ship Firestore schema for Developer Graph (MVP).
  • Integrate Stripe test billing and SendGrid notifications.

12 Months:

  • Scale backend to handle 100K+ concurrent learners.
  • Maintain 99.9% uptime with zero Sev1 backend-originated outages.
  • Optimize p95 API response time <100ms under production load.
  • CI/CD coverage >90% with automated regression tests.

Must-Haves

  • 10+ years backend engineering experience (Python, REST/async).
  • Deep expertise in distributed systems, scalable APIs, and async I/O.
  • Hands-on GCP experience (Cloud Run, Firestore, Pub/Sub, API Gateway).
  • Proven delivery of high-scale backend systems in product companies.

Nice-to-Haves

  • Experience with Neo4j Graph DB.
  • Prior work on AI product integrations (LLM orchestration, eval pipelines).
  • Knowledge of Pub/Sub patterns for agentic systems.
  • Startup or founding engineer background.

Tech Stack Visibility

  • Core Services: FastAPI, Python Async, Google Cloud Run
  • Routing & Security: Google Cloud API Gateway, Firebase Auth
  • Data: Firestore, Neo4j Aura (Developer Graph), Redis
  • Workflows: Cloud Tasks, Cloud Workflows
  • Commercial: Stripe (Firebase Extension), SendGrid (Firebase Extension)
  • CI/CD: GitHub Actions, Docker
  • Observability: OpenTelemetry, Google Cloud Trace
  • Tools: Linear (execution), Notion (PRDs), GitHub (repos)

Assessment

Objective: Validate ability to build scalable FastAPI backend services with async workflows and integrations.

Challenge (Candidate PoC):

Build a FastAPI backend powering an AI Tutor mock system with:

  1. /generate-course endpoint → Input: “Teach me React Hooks.” Output: structured course outline (JSON).
  2. /generate-artifact endpoint → Generates quiz or slide deck JSON artifact.
  3. /generate-miniapp endpoint → Returns runnable JS snippet.
  4. Store all results in Firestore (schemas for userId, courseId, artifactId).
  5. Trigger Cloud Task for certificate generation (mock PDF).
  6. Fire Firestore trigger → Send transactional email via SendGrid extension.
  7. Secure endpoints with Firebase JWT verification through API Gateway.

Deliverables:

  • FastAPI app deployed on Cloud Run.
  • Firestore schema + example populated data.
  • Postman collection for API requests.
  • GitHub repo with modular code + CI pipeline.
  • Short Loom walkthrough demo.

Evaluation Criteria:

  • Service Architecture & Code Quality (30%)
  • Data Modeling & Schema Design (20%)
  • Async Workflow & Cloud Task Integration (20%)
  • API Security & Performance (15%)
  • Documentation & Testing (15%)
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 gradientflo'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 gradientflo'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

    gradientflo'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.