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 startups. With over thirty years of expertise in custom software, product and platform engineering, it empowers clients to become AI-Native enterprises, driving value from innovation and digital investments.

• 5+ years of platform or software engineering experience with expert-level proficiency in Python
• Hands-on experience building APIs and SDKs on 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 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 with 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 for consistent, reliable access to platform services
• Architect and maintain a gateway layer that fronts platform services and removes fragmented access
• Establish orchestration and routing patterns to converge independent services into one product
• 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 a test-first approach
• Produce clear service contracts and documentation to support platform adoption
• Integrate services across Azure and GCP, leveraging private endpoints for secure communication
• Implement observability practices using OpenTelemetry, Prometheus, Loki, Tempo, and Grafana
• Use metrics, traces, and logs to debug and tune production performance

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