Backend Software Engineer, Infrastructure
Higgsfield AI · Almaty, Kazakhstan
Applied AIonsite
At a glance
Highlights
- Build shared services for queues, scheduling, caching and service communication.
- Improve recovery and resource allocation for long-running media workloads.
- Simplify service setup, testing, deployment and production debugging.
What they offer
- Competitive base pay in USD
- Equity
- Relocation support
- Ownership of infrastructure used across engineering teams
Ideal candidate
An infrastructure-minded engineer who owns ambiguous production problems end-to-end and enjoys building shared tooling that helps product teams ship quickly and operate reliably.
Requirements
- Experience running production systems on Kubernetes and AWS including deployments, scaling, networking and troubleshooting
- Strong software engineering skills building shared services, tools and automation for other engineers
- Experience with databases, queues and distributed systems including performance debugging and recovery
- Track record owning a difficult production problem from unclear start to working solution
- Ability to set priorities, make practical tradeoffs and remove blockers
- Clear communication, openness to feedback and knowledge sharing
- hiring process
- Recruiter screen on expectations, logistics and fit, followed by technical interview on a difficult system shipped, optional additional technical interview, then product fit interview on bottleneck improvement and rollout, ending with offer.
Lab profile
About Higgsfield AI
Generative AI company building AI-powered video creation and creative tools
What they build
- AI-powered video creation platform
- Next-generation creative tools
Known for
- Fastest-scaling generative AI company
- Frontier AI-powered video creation
- Powering 390 Fortune 500 brands
Key facts
- $500M annual revenue run rate
- 25M+ users worldwide
- 6M+ generations per day
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