platform engineer for Foundry

Описания нет

• Design, build, and maintain Python services for integrating and managing external applications, engines, and infrastructure inside Foundry, including manifest schemas and validation, catalogs and versioning, installation and upgrade lifecycles, configuration and secrets handling, health reporting, and REST APIs for the Foundry UI and CLI
• Define the integration contract for connecting external engines to Foundry’s IAM, metadata layer, and UI, and drive the first integrations through it
• Own Foundry’s deployment packaging, including Helm charts, operators, and 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, including identity providers, object storage, container registries, ingress and network policy, and GPU scheduling
• Own CI/CD pipelines, the release process, and the multi-environment integration test matrix for validating supported deployment targets
• Instrument the platform and installed apps with metrics, logs, and traces, and write runbooks for operating and supporting production deployments
• Turn prototypes and one-off integrations into stable, documented, versioned services and tooling for other teams and customers

• At least 5 years in platform, infrastructure, or backend engineering, including at least 2 years shipping and operating production workloads on Kubernetes
• At least 3 years writing production Python and owning backend services end to end, including API design, data models, testing, and packaging
• Experience building and maintaining REST APIs with a modern Python framework such as FastAPI or Django REST Framework, including versioning, authentication, and input validation
• Experience with Python data access and migrations, such as SQLAlchemy or Alembic, on PostgreSQL, and with schema design
• Comfortable with async Python, structured logging, Pytest, type hints, and linters
• Experience using Python to interact programmatically with Kubernetes and cloud APIs, for example to build installers, controllers, or operational tooling
• Hands-on experience with Helm and Kubernetes packaging, including writing and maintaining charts for others to install
• Experience deploying software into external environments, including on-premises, private cloud, or restricted-network/air-gapped installations
• Experience with AWS services: EKS, ECR, RDS, S3, and Secrets Manager
• Experience integrating enterprise identity systems (OIDC, OAuth2, SAML) and managing production secrets and configuration
• Solid understanding of Docker, image building and hardening, and container registries
• Proficiency with Git and CI/CD pipelines such as GitLab CI or GitHub Actions
• Product-oriented mindset and ability to turn R&D scripts or prototypes into stable, usable services
• Будет плюсом: Kubernetes operators or controllers (in Python with kopf or in Go), GitOps tooling (ArgoCD, Flux), plugin, extension, or app-store style systems, publishing Python packages or CLIs, GPU workloads on Kubernetes, LLM serving tools (vLLM, Triton, NIM), observability tooling (Prometheus, Grafana, OpenTelemetry), ML orchestration tooling (Flyte, Airflow, MLflow, SkyPilot), Go, and contributions to open-source infrastructure projects

• Indefinite contract
• Variable performance bonus
• Signing bonus
• Work visa sponsorship, if applicable
• Relocation package, if applicable
• Private health insurance
• Flexible remuneration for hospitality and public transportation
• Flexible working hours