Almaty, Kazakhstan · Growth Engineering
Why this role existsHiggsfield's Growth team runs on an internal platform. We need a Business Engineer to turn operational bottlenecks into software, from the data model and API to the screens the team uses every day. You own features through launch, adoption and production support.
What you'll actually doTurn growth team problems into useful features. Define a small first release and build it across backend and frontend.
Own database schemas, query performance and safe migrations on a live database.
Build third-party integrations that handle API quotas, rate limits, retries and webhooks.
Make payment and messaging workflows safe to retry, without duplicate payouts or sends, and keep an audit trail.
Ship LLM features and measure quality, latency and cost per result.
Own environments, releases, monitoring, security and access. Share on-call responsibility.
Define success metrics, track adoption after launch and improve what you ship.
Production experience. You've built and operated backend systems and can explain your decisions, personal contribution and results.
Strong Python and full-stack delivery. You build backend services and React screens when a feature needs them.
Deep PostgreSQL knowledge. Data modeling, query plans, indexes, transactions, locking and migrations on live databases.
API security. Authentication, object-level authorization and role isolation. You prevent IDOR on reads and writes and test access as different users.
Hands-on operations. Linux, containers, CI/CD, monitoring and debugging production from logs. You can run what you build.
High agency and ownership. You find worthwhile problems, remove blockers and follow through without waiting for assignments.
Low ego. You welcome direct feedback, admit mistakes and change your mind with evidence.
Energy for an intense pace. The team ships daily, priorities shift and urgent production issues can need you outside regular hours.
Languages: Python and TypeScript.
Backend: Python and Node.js services, REST APIs, background workers and scheduled jobs.
Frontend: React with server-side rendering.
Data: PostgreSQL and S3-compatible object storage.
Infrastructure: Linux, Docker and GitHub Actions CI/CD.
AI: LLM APIs from major providers.
Quality: Static typing, linters and automated tests in both languages.
Bonus experience: Influencer marketing, affiliate programs or creator payouts; large-scale YouTube data within API quotas; email outreach and deliverability; LLM evaluations, prompt regression sets and cost tracking.
Interview processRecruiter screen: role expectations, logistics and fit.
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.
Practical task: a real problem from our backlog, under NDA. You design the data model and API, write the core of it and explain your trade-offs.
Product interview: turn a growth team problem into a small first release, decide what to leave out and explain how feedback would change it.
Offer.
Competitive base in USD, equity, relocation support, and ownership of the systems Higgsfield's growth runs on.
Skills Required
- Production experience building and operating backend systems
- Strong Python and full-stack development experience
- React development experience
- Deep PostgreSQL knowledge, including data modeling, query plans, indexes, transactions, locking, and live migrations
- API security experience with authentication, object-level authorization, role isolation, IDOR prevention, and access testing
- Hands-on experience with Linux, containers, CI/CD, monitoring, and production debugging
- High agency and ownership
- Ability to work at an intense pace and handle urgent production issues outside regular hours
- Experience with influencer marketing, affiliate programs, creator payouts, large-scale YouTube data, email deliverability, or LLM evaluations
What We Do
Higgsfield is an AI-native generative video platform that provides infrastructure for AI video and image generation, enabling creators, brands, and marketing teams to produce cinematic-quality visuals at scale by integrating various AI models into a unified workflow.
