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

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 5+ years experience in platform or software engineering with expert-level proficiency in Python
• Hands-on experience building APIs and SDKs on distributed services, including client libraries
• Proficiency in FastAPI, REST/async API design, versioning, and contract testing
• Expertise in designing gateway architectures, including orchestration and routing
• Knowledge of IAM concepts including RBAC/ABAC least-privilege models, managed/workload identity, and token delegation
• Hands-on experience with Azure and GCP including private endpoints and multi-cloud 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 unify a fragmented service landscape into one coherent product
• English proficiency at B2 level or higher

• 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 providing consistent access to platform services
• Architect and maintain a gateway layer fronting platform services
• Establish orchestration and routing patterns to unify independent services
• Implement RBAC/ABAC least-privilege authorization models at the gateway level
• Manage identity and token flows including managed/workload identity and delegation
• Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions with test-first delivery
• Produce clear service contracts and documentation supporting platform adoption
• Integrate services across Azure and GCP using private endpoints
• Implement observability using OpenTelemetry, Prometheus, Loki, Tempo, and Grafana for end-to-end visibility
• Use metrics, traces, and logs to debug and tune performance in production

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