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

Open nowPosted 2 hours agoWe saw it 9 min after it went up

Backend Software Engineer, Product

Higgsfield AI94 open roles

Where
Almaty, Kazakhstan
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowBackend Software Engineer, ProductHiggsfield AI · Almaty, Kazakhstan

  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 Higgsfield AI'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.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Higgsfield AI postings stay open a median of 44 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 2 hours ago

Higgsfield AI median: 44 days open

The posting

Almaty, Kazakhstan · Trust & Safety Engineering

Why this role exists

Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production.

What you'll actually do

- Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows.

- Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature.

- Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort.

- Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability.

- Define success metrics, build dashboards and alerts, and track adoption and system health after launch.

Must-haves

1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes.

2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging.

3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results.

4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces.

5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits.

6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments.

7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you.

8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work.

9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours.

Our tech stack

- Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend).

- Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse.

- Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers.

- AWS: S3, DynamoDB, ECR, and Secrets Manager.

- Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions.

- Observability: Prometheus, Grafana, OpenTelemetry, and Sentry.

Interview process

1. Recruiter screen: role expectations, logistics, and fit.

2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you.

3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions.

4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution.

5. Offer.

What we offer

Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

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 Higgsfield AI'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 Higgsfield AI'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

    Higgsfield AI'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.