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Platform Engineer; Barcelona)

Job in Cambourne, Cambridgeshire, CB23, England, UK
Listing for: Remotestar
Full Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    Python, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 76000 - 102000 GBP Yearly GBP 76000.00 102000.00 YEAR
Job Description & How to Apply Below
Position: Platform Engineer (Barcelona)
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 life cycles, 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 (SQL Alchemy, 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 (Git Lab CI or Git Hub 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 Git Ops 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, Open Telemetry) and with exposing it for third‑party components.
  • Exposure to ML orchestration tooling (Flyte, Airflow, MLflow, Sky Pilot).
  • 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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