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About the job
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
- Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes.
- 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.
- Recruiter 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.
- Additional technical interview, if needed: a deeper discussion of technical skills and open questions.
- 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.
- Offer.
What we offer
Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.
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Source: the Higgsfield Ashby job board. We last checked this job 9 h ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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