Experteer Overview ¿Listo para inscribirse? Antes de hacerlo, asegúrese de leer todos los detalles pertenecientes a este trabajo en la descripción a continuación. 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 / Ventajas• 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 services (Databricks Model Serving, Azure OpenAI, AWS Bedrock) behind internal contractsResponsabilidades• 7+ years in backend engineering with Python• Proven track record delivering AI/ML, GenAI, and agentic systems into production• Hands-on experience with Azure/AWS xqbhyrx cloud AI services and Databricks (MLflow, Delta Lake, Model Serving)• Strong API design and distributed systems experience (asynchronous patterns, background processing, messaging)• Proven Kubernetes deployment experience; Terraform for infra; emphasis on observability and monitoring• Experience in regulated environments with auditability, data controls, security, and compliance• Ownership mindset; cross-functional collaboration; ability to build reusable platform patterns• English language proficiency; additional European languages a plusRequisitos principales• hybrid work model• bonus scheme• pension• employee shares program• lifelong learning• health and wellbeing

📌 Senior Platform Engineer (m/f/d) (Barcelona)
🏢 Allianz
📍 Barcelona