Experteer Overview

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As a Senior Platform Engineer, you design scalable backend platforms that expose AI and automation as production-grade services. You will build API-driven systems on Kubernetes, blending AI components with deterministic logic to support transformation workflows across business units. Working in a regulated financial services setting, you’ll embed compliance, governance, and responsible AI into design. You’ll partner with cross-functional teams to deliver robust APIs, observability, and scalable deployment patterns that enable enterprise AI at scale.

Compensaciones / Incentivos
• Design and maintain RESTful APIs with versioning and stable model behavior across releases
• Define validated response schemas for auditable, enterprise-ready outputs
• Implement streaming patterns (SSE/chunked) for real-time model outputs
• Implement authentication/authorization frameworks (OAuth2, JWT, RBAC) for cloud integrations




• Enforce API-layer data controls (input sanitisation, output filtering) and guardrails for compliance
• Incorporate audit logging into API contracts for regulatory traceability
• Design background jobs to return immediately while model inference runs asynchronously
• Integrate with message queues and event-driven architectures (Azure Service Bus, SQS, Kafka)
• Implement polling/webhook mechanisms to deliver results non-blockingly
• Establish structured logging with inputs/outputs/latency/model version
• Integrate with monitoring platforms (Datadog, Azure Monitor, CloudWatch) for full-stack visibility
• Implement drift detection for model outputs and versioned endpoints for seamless updates
• Develop automated testing strategies for non-deterministic outputs (contract tests, regression benchmarks)
• Deploy containerised APIs on Kubernetes (AKS/EKS) with health checks and autoscaling
• Wrap managed AI

📌 Senior Platform Engineer (Barcelona)
🏢 Allianz
📍 Barcelona