RemoteStar
Platform Engineer (Barcelona)
Cambourne
Posted about 18 hours ago
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Location: Barcelona
Work Mode: Hybrid (3 days from office, 2 day remote)
Responsibilities
- 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.
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Required Qualifications
- 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.
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Preferred Qualifications
- Experience writing Kubernetes operators or controllers (in Python with kopf, or in Go), or with GitOps tooling (ArgoCD, Flux).
- Experience building plugin, extension, or app-store style systems: manifest formats, lifecycle hooks, dependency and version resolution.
- Experience publishing Python packages or CLIs that others install (packaging, versioning, backwards compatibility).
- Experience with GPU workloads on Kubernetes (device plugins, node scheduling, NVIDIA GPU Operator) and with LLM serving tools (vLLM, Triton, NIM).
- Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry) and with exposing it for third-party components.
- Exposure to ML orchestration tooling (Flyte, Airflow, MLflow, SkyPilot).
- Go, and a track record of contributing to open-source infrastructure projects.
Perks & Benefits
- Indefinite contract.
- Variable performance bonus.
- Signing bonus.
- We offer work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Flexible remuneration: hospitality and public transportation.
- Flexible working hours.
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