Platform Engineer

RemoteStar

. Design, build, and maintain Python services integrating and managing external applications, engines, and infrastructure inside Foundry .

Posted 10/11/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python service development, Kubernetes deployment, and REST API design, with a strong focus on integrating external applications and managing production workloads. Proficient in CI/CD processes and maintaining operational stability across diverse environments.

Highest-signal resume keywords

Python DevelopmentKubernetes DeploymentREST API DesignCI/CD Pipeline ManagementIntegration with OIDC/SAML

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Applicant Tracking System Keywords

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Hard Skills

PythonKubernetesREST APIsSQLAlchemyFastAPIDjango REST FrameworkHelmDockerGitPostgreSQL

Soft Skills

Product-Oriented MindsetProblem-Solving

Tools & Technologies

AWS EKSGitLab CIGitHub ActionsBoto3Pydantic

Industry Keywords

Infrastructure EngineeringPlatform EngineeringCloud ProvidersAir-Gapped EnvironmentsIdentity Management

Tech Stack

Tools & technologies

AWSCloudDjangoDockerKubernetesPostgresPythonGo

About the role

Key responsibilities & impact

Design, build, and maintain Python services integrating and managing external applications, engines, and infrastructure inside Foundry
Develop manifest schemas and validation, catalogs and versioning, installation/upgrade/removal lifecycles, configuration and secrets handling, health reporting, and REST APIs for the Foundry UI and CLI
Define the integration contract for external engines to plug into Foundry’s IAM, metadata layer, and UI
Drive the first external-engine integrations
Own deployment packaging including Helm charts, operators, and offline bundles
Keep the platform installable, upgradable, and supportable across Kubernetes distributions, cloud providers, sovereign clouds, and air-gapped environments
Integrate Foundry with OIDC/SAML identity providers, object storage, container registries, ingress and network policy, and GPU scheduling
Own CI/CD pipelines, release processes, and multi-environment integration-test matrices
Instrument the platform and installed apps with metrics, logs, and traces
Write runbooks for operating and supporting production deployments
Turn prototypes and one-off integrations into stable, documented, versioned services and tooling

Requirements

What you’ll need

5+ years in platform, infrastructure, or backend engineering
At least 2 years shipping and operating production workloads on Kubernetes
3+ years writing production Python
Experience owning backend services end to end, including API design, data models, testing, and packaging
Experience building and maintaining REST APIs in FastAPI, Django REST Framework, or similar, including versioning, authentication, and input validation with Pydantic or equivalent
Experience with SQLAlchemy, Alembic, or equivalent on PostgreSQL, and schema design
Comfortable with async Python, structured logging, Pytest, type hints, and linters
Experience interacting programmatically with Kubernetes and cloud APIs from Python, such as Kubernetes client or Boto3
Deep hands-on experience with Helm and Kubernetes packaging
Experience deploying software into on-premises, private-cloud, restricted-network, or air-gapped environments
Experience with AWS EKS, ECR, RDS, S3, and Secrets Manager
Experience integrating enterprise identity using OIDC, OAuth2, or SAML
Experience managing secrets and configuration in production
Solid understanding of Docker, image building and hardening, and container registries
Proficiency with Git and CI/CD pipelines, including GitLab CI or GitHub Actions
Product-oriented mindset able to turn R&D scripts or prototypes into stable, usable services
Preferred: Kubernetes operators/controllers, GitOps tooling, plugin or app-store systems, Python packages or CLIs, GPU workloads on Kubernetes, LLM serving tools, observability tooling, ML orchestration tooling, Go, and open-source infrastructure contributions

Benefits

Comp & perks

Indefinite contract
Variable performance bonus
Signing bonus
Work visa sponsorship (if applicable)
Relocation package (if applicable)
Private health insurance
Flexible remuneration: hospitality and public transportation
Flexible working hours
Hybrid work: 3 days from office, 2 days remote