8 дней назад
Platform Engineer (Python/Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (Python/Kubernetes) (AI platform): Building Foundry's deployment infrastructure and Python services for packaging, installing, configuring, and managing third-party applications across cloud, on-premises Kubernetes, sovereign cloud, and air-gapped environments with an accent on REST APIs, Helm packaging, enterprise integrations, and production operations. Focus on designing application lifecycles, integrating identity, storage, registries, networking, and GPU scheduling, and validating reliable deployments across multiple environments.
Location: Barcelona, Spain; hybrid work
Company
is a deep-tech product company developing quantum software and AI solutions, including model optimization and quantum-inspired computing platforms.
What you will do
- Design and maintain Python services and REST APIs for packaging, installing, configuring, upgrading, and managing third-party applications inside Foundry.
- Define integration contracts connecting external engines with Foundry's IAM, metadata, and user interface layers.
- Own Helm charts, operators, offline bundles, and deployment workflows across Kubernetes distributions, cloud providers, sovereign clouds, and air-gapped environments.
- Integrate Foundry with OIDC/SAML identity providers, object storage, container registries, ingress, network policies, and GPU scheduling.
- Own CI/CD pipelines, release processes, and multi-environment integration testing.
- Implement observability with metrics, logs, and traces, and create operational runbooks for production deployments.
Requirements
- 5+ years of platform, infrastructure, or backend engineering experience, including 2+ years operating production workloads on Kubernetes.
- 3+ years of production Python experience building backend services, REST APIs, data models, tests, and packages.
- Strong experience with FastAPI, Django REST Framework, or similar frameworks; PostgreSQL, SQLAlchemy or Alembic, async Python, Pytest, type hints, and linters.
- Hands-on experience with Kubernetes and cloud APIs, Helm, Docker, container registries, and CI/CD using GitLab CI or GitHub Actions.
- Experience deploying software to on-premises, private-cloud, restricted-network, or air-gapped environments.
- Experience with AWS services including EKS, ECR, RDS, S3, and Secrets Manager, plus enterprise identity integrations such as OIDC, OAuth2, and SAML.
Nice to have
- Kubernetes operators or controllers, GitOps tooling, or plugin and app-store style systems.
- Python package or CLI publishing, GPU workloads on Kubernetes, and LLM serving tools.
- Prometheus, Grafana, OpenTelemetry, ML orchestration tools, Go, or open-source infrastructure contributions.
Culture & Benefits
- Indefinite employment contract with equal pay and variable performance and signing bonuses.
- Work visa sponsorship and relocation package may be available.
- Private health insurance, flexible remuneration, and an educational budget subject to internal policy.
- Hybrid work, flexible hours, language classes, and discounted lunch options.
- Career development opportunities in a multicultural, inclusive, and sustainability-focused environment.
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