Andromeda
Software Engineer - AI Infrastructure
About this role
Build core infrastructure platform components at Andromeda, a rapidly scaling AI compute marketplace. Design orchestration systems, APIs, and control planes that abstract diverse infrastructure types while translating customer needs into product capabilities.
What you'll do
- Design and develop infrastructure orchestration, provisioning, and lifecycle management solutions
- Build robust APIs and services that abstract over VMs, Kubernetes, bare metal, and schedulers
- Translate customer usage patterns into product features and improvements
- Create automation and internal tooling to reduce manual operational work
- Enhance platform reliability, performance, and observability
- Collaborate on technical design and architectural evolution
What they're looking for
- Infrastructure and platform engineering (5+ years)
- Linux, networking, storage, and distributed systems
- Kubernetes, VMs, or bare-metal environments
- Backend development (Python, Go, or similar)
- Infrastructure as code (Terraform, Ansible, Helm)
- API and control plane design
- Problem abstraction and system design
- Technical communication and documentation
Benefits
- Remote flexibility (North America Remote / San Francisco)
- Ownership and autonomy over platform systems
- Direct customer and provider engagement
- Opportunity to shape foundational AI infrastructure
- Early-stage startup environment
- High-impact work in rapidly growing AI sector
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Andromeda
Andromeda is an AI infrastructure startup that builds hardware and software platforms for large-scale AI training and inference, operating a compute marketplace that routes jobs across multiple cloud providers. The company is hiring Solutions Engineers, Site Reliability Engineers, and Infrastructure Platform Engineers to deliver customer solutions, manage Kubernetes clusters, and design core orchestration systems.
View all jobs at AndromedaLikely interview questions
- Describe your experience building or maintaining orchestration systems. How have you handled routing and resource allocation across heterogeneous infrastructure types?
- Walk us through a time you designed an API or control plane that abstracted over multiple underlying systems. What trade-offs did you make?