About the company
Higgsfield AI builds shared infrastructure that helps product teams ship quickly and run reliable services.
Responsibilities
- 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 and measure results
Requirements
- Experience running production systems on Kubernetes (K8s) 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
- A difficult production problem owned from an unclear starting point to a working solution
- Ability to set priorities, make practical tradeoffs, remove blockers
- Clear communication and knowledge sharing
Nice to have
- Cloudflare
- Infrastructure as code
- PostgreSQL, Redis, or event-streaming systems
- High-throughput media pipelines or AI workload orchestration
Conditions
- Competitive base pay in USD, equity, relocation support
- Ownership of infrastructure used across engineering teams