Backend Software Engineer, Product at Higgsfield AI in Almaty

Job description

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. • 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. • A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. • 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. • 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. • High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. • Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. • Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. • 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 • 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.