9 сен

platform engineer for Data & AI platforms

ориентир по рынку
вакансия зп не указана
в среднем 328 556 ₽
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описание

EPAM provides enterprise software products, open source solutions, and accelerators, including services for Data & AI platforms.

задачи

  • 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.

требования

  • 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.

условия

  • No conditions specified

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