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Open nowPosted 18 days ago

Platform Engineer (Barcelona)

RemoteStar90 open roles

Where
Cambourne, United Kingdom of Great Britain and Northern Ireland, Remote
Work mode
Remote
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Your applicationOpen nowPlatform Engineer (Barcelona)RemoteStar · Cambourne, United Kingdom of Great Britain and Northern Ireland, Remote

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 18 days ago

The posting

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.

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.

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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