Software Engineer - Enterprise Infrastructure
Luma AI
This job is no longer accepting applications
See open jobs at Luma AI.See open jobs similar to "Software Engineer - Enterprise Infrastructure" General Catalyst.Software Engineering, Other Engineering
Palo Alto, CA, USA
USD 150k-300k / year
Posted on Dec 9, 2025
Software Engineer - Enterprise Infrastructure
Palo Alto, CA • London, UK
Backend Platforms
Hybrid
Full-time
The Opportunity
Luma AI operates at the intersection of research and product, backed by over $1.3 billion in funding. We are building the next era of AI with Omni models that can see, hear, and understand. To bring this intelligence to the enterprise, we require infrastructure that is as robust as it is powerful.
Where You Come In
You will serve as a technical authority for our enterprise backend, designing the systems that guarantee security, privacy, and reliability for our largest customers. This role requires traversing the stack from the database schema to the API contract, ensuring our architecture supports massive-scale inference while adhering to strict enterprise standards.
What You Will Build
- Secure Architectures: Design and implement hardened backend systems that manage identity, authentication (SSO/SAML), and granular permissions (RBAC) for high-value clients.
- API Ecosystem: Architect the API surfaces that power our enterprise offerings, optimizing for developer experience, stability, and speed.
- Observability & Insight: Build the analytics and reporting pipelines that provide our partners with deep visibility into their usage and model performance.
The Profile We Are Looking For
- Architectural Maturity: You have a track record of designing distributed systems that balance speed of delivery with long-term reliability.
- Deep Python Expertise: You are a Python expert who understands the internals of the language and can write performant, production-grade code.
- Enterprise Depth: You have previously built or scaled platforms serving B2B or enterprise customers, specifically dealing with complex authentication and multi-tenancy challenges.
- Infrastructure Fluency: You are comfortable working with Kubernetes and cloud infrastructure to deploy and manage your own services.
Compensation
The base pay range for this role is $150,000 – $300,000 per year.
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How did you discover us?
Req ID: R100024
This job is no longer accepting applications
See open jobs at Luma AI.See open jobs similar to "Software Engineer - Enterprise Infrastructure" General Catalyst.
