Back to SearchSenior Platform Engineer (API & Gateway - Data & AI Platform)
Remote in Poland
APIs and Integration& 4 others
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We are seeking a Senior Platform Engineer to design and build the API and Gateway layer that unifies our Data & AI Platform, transforming a fragmented service landscape into one coherent, secure, and observable product.
Responsibilities
- Design and build APIs and SDKs on top of distributed platform services using Python/FastAPI
- Define REST/async API design standards, versioning strategies, and contract testing practices
- Develop client libraries that provide consistent, reliable access to platform services
- Architect and maintain a gateway layer that fronts platform services and removes direct fragmented access
- Establish orchestration and routing patterns that converge independent services into one cohesive product
- Implement RBAC/ABAC least-privilege authorization models at the gateway level
- Manage identity and token flows, including managed/workload identity and delegation, to keep downstream services simple
- Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions with a test-first delivery approach
- Produce clear service contracts and documentation to support platform adoption
- Integrate services across Azure and GCP, leveraging private endpoints for secure service-to-service communication
- Implement observability practices using OpenTelemetry, Prometheus, Loki, Tempo, and Grafana to ensure end-to-end visibility
- Use metrics, traces, and logs to debug and tune performance in production environments
Requirements
- 5+ years of experience in platform or software engineering, with expert-level proficiency in Python
- Hands-on experience building APIs and SDKs on top of distributed services, including client libraries
- Proficiency in FastAPI, REST/async design, API versioning, and contract testing
- Expertise in designing gateway architectures, including orchestration, API integration, and consistent routing
- Knowledge of IAM concepts including RBAC/ABAC least-privilege models, managed/workload identity, and token delegation flows
- Hands-on experience with Azure and GCP, including private endpoints and multi-cloud service-to-service integration
- Skills in CI/CD and automation using Azure DevOps or GitHub Actions
- Familiarity with observability tooling such as OpenTelemetry, Prometheus, Loki, Tempo, and Grafana
- Ability to translate a fragmented service landscape into one coherent, unified product
- English proficiency at B2 level or higher