Experteer Overview 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 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 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