Platform Engineer, Multiverse Computing

• 5+ years in platform, infrastructure, or backend engineering, with at least 2 years shipping and operating production workloads on Kubernetes
• 3+ years writing production Python: you have owned backend services end to end, including API design, data models, testing, and packaging, not only automation scripts
• Experience building and maintaining REST APIs in a modern Python framework (FastAPI, Django REST Framework, or similar), including versioning, authentication, and input validation (Pydantic or equivalent)
• Experience with Python data access and migrations (SQLAlchemy, Alembic, or equivalent) on PostgreSQL, and with schema design
• Comfortable with async Python, structured logging, and writing testable code with Pytest; you use type hints and linters as a matter of course
• Experience interacting with Kubernetes and cloud APIs programmatically from Python (Kubernetes client, Boto3, or equivalent), for example building installers, controllers, or operational tooling
• Deep, hands-on experience with Helm and Kubernetes packaging; you have written and maintained charts that other people install
• Experience deploying software into environments you do not control: on-premises, private cloud, or restricted-network/air-gapped installs
• Experience with AWS: EKS, ECR, RDS, S3, Secrets Manager
• Experience integrating with enterprise identity (OIDC, OAuth2, SAML) and managing secrets and configuration in production
• Solid understanding of Docker, image building and hardening, and container registries
• Proficiency with Git and CI/CD pipelines (GitLab CI or GitHub Actions)
• A product-oriented mindset: able to turn R&D scripts or prototypes into stable, usable services

Desirable

• You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity
• Foundry is a sovereign AI development platform
• It works by incorporating industry leading model optimization algorithms with best-in-class open-source engines behind one UI, API, and identity layer, and it has to run wherever our customers need: public cloud, private and sovereign cloud, on-premises Kubernetes, and air-gapped environments
• You will own how Foundry gets deployed and how it connects to the world around it
• On the infrastructure side, that is the packaging, installation, and upgrade path of the platform across every environment we support, and the integration with customer infrastructure (identity, storage, registries, networking, GPU scheduling)
• On the backend side, it is the Third-Party Apps module: a Python service and API through which external open-source applications are packaged, installed, configured, and managed as first-class apps inside Foundry, with proper identity, configuration, and observability
• This is a hands-on role; you will write production Python and production Helm, and you will be the person who knows why a deployment works
• You will work within Platform Engineering alongside the owners of the metadata, catalog, and IAM modules, and with the teams building Foundry's compression, fine-tuning, serving, and orchestration capabilities
• Design, build, and maintain the Python services through which external applications, engines, and infrastructure are integrated and managed inside Foundry: manifest schemas and validation, catalogs and versioning, install/upgrade/remove lifecycles, configuration and secrets handling, health reporting, and the REST APIs that expose them to the Foundry UI and CLI
• Define the integration contract that lets an external engine plug into Foundry's IAM, metadata layer, and UI once, and drive the first integrations through it
• Own Foundry's deployment packaging (Helm charts, operators, offline bundles) and keep the platform installable, upgradable, and supportable across Kubernetes distributions, cloud providers, sovereign clouds, and air-gapped environments
• Integrate Foundry with customer-side infrastructure: OIDC/SAML identity providers, object storage, container registries, ingress and network policy, and GPU scheduling
• Own the CI/CD pipelines, release process, and multi-environment integration test matrix that validate every supported deployment target
• Instrument the platform and installed apps with metrics, logs, and traces, and write the runbooks needed to operate and support production deployments
• Turn prototypes and one-off integrations into stable, documented, versioned services and tooling that other teams and customers can rely on