Software Engineer, Infrastructure
Almaty, Kazakhstan
Build the shared infrastructure that helps Higgsfield’s product teams ship quickly and run reliable services. You’ll own problems from finding the bottleneck to shipping a solution and supporting it in production.
What you’ll do
Build shared services for queues, job scheduling, caching, configuration, and service communication.
Improve concurrency limits, resource allocation, and recovery for long-running media workloads.
Make database access, migrations, and connection management safer and faster.
Simplify service setup, testing, deployment, and production debugging.
Improve observability, investigate incidents, and reduce infrastructure cost per completed job.
Work directly with product engineers, ship focused improvements, and measure the results. Our release cycle is days, not quarters.
Required
Experience running production systems on Kubernetes (K8s) and AWS, including deployments, scaling, networking, and troubleshooting.
Strong software engineering skills: you build shared services, tools, and automation that other engineers use.
Experience with databases, queues, and distributed systems, including performance debugging, safe rollouts, and recovery.
A difficult production problem you owned from an unclear starting point to a working solution.
Ability to set priorities, make practical tradeoffs, remove blockers, and ask for help when needed.
Clear communication, openness to feedback, and knowledge sharing so others can operate and extend your work.
Nice to have
Cloudflare.
Infrastructure as code.
PostgreSQL, Redis, or event-streaming systems.
High-throughput media pipelines or AI workload orchestration.
Interview process
Recruiter screen: expectations, logistics, and fit.
Technical interview: a difficult system you shipped, your decisions, and the results.
Additional technical interview, if needed.
Product fit interview: investigate a team’s bottleneck and plan a practical improvement, adoption, and safe rollout.
Offer.
What we offer
Competitive base pay in USD, equity, relocation support, and ownership of infrastructure used across our engineering teams.
Skills Required
- Production experience with Kubernetes and AWS, including deployments, scaling, networking, and troubleshooting
- Strong software engineering skills building shared services, tools, and automation
- Experience with databases, queues, and distributed systems, including performance debugging, safe rollouts, and recovery
- Experience owning a difficult production problem from an unclear starting point through a working solution
- Ability to set priorities, make practical tradeoffs, remove blockers, and ask for help when needed
- Clear communication, openness to feedback, and knowledge sharing
- Experience with Cloudflare
- Experience with infrastructure as code
- Experience with PostgreSQL, Redis, or event-streaming systems
- Experience with high-throughput media pipelines or AI workload orchestration
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.
