Senior Platform Engineer (API & Gateway - Data & AI Platform)

Job description

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