an English multinational company with a strong presence across Europe, dedicated to the development of projects, deployments, and implementation of IT services, is seeking an AI Automation & Integration Specialist The AI Automation & Integration Specialist designs, develops, tests, deploys, secures and operates production-grade automations and integrations that connect business processes, enterprise applications, cloud services, data platforms and AI capabilities. The role is a hands-on senior engineering position within SCC Spain's AI delivery capability, translating solution architectures and business requirements into resilient APIs, event-driven services, automated workflows and reusable integration components across Microsoft Azure and AWS. The role ensures that AI-enabled applications and automations are not isolated proofs of concept, but supportable production services that integrate reliably with customer processes and systems.

Automation

Development & Intelligent Process Orchestration Maintain automation assets throughout their lifecycle, including versioning, testing, deployment, monitoring, incident resolution and continuous optimisation. Measure automation outcomes including transaction completion, processing time, failure rate, manual effort avoided, rework and operational cost. Define exception paths, audit trails, manual recovery procedures and operational controls for business-critical automations.

Automate interactions with Microsoft 365 and enterprise platforms using Microsoft Graph, APIs, webhooks, events, queues and secure workload identities. Build reusable connectors, custom connectors, workflow templates, automation libraries and common services that reduce delivery time across customer projects. Design, develop, test, deploy and operate end-to-end automations using Azure Functions, AWS Lambda, Logic Apps, Durable Functions, Step Functions, Power Automate and code-based orchestration where appropriate.

Analyse business and operational processes to identify automation opportunities, define automation boundaries and translate requirements into maintainable technical workflows. Cloud-native Integration & Automation Engineering Design and implement API-first, event-driven and asynchronous integration solutions using Azure Functions or AWS Lambda, Event Grid or EventBridge, Service Bus or SQS/SNS, and workflow orchestration services such as Logic Apps, Durable Functions or Step Functions. Build reusable automation components, connectors and integration services using C#, Python, TypeScript or PowerShell,



applying appropriate software engineering standards.

Integrate enterprise systems, SaaS platforms, data services and AI endpoints through REST, GraphQL, webhooks, messaging and event streaming patterns. Modernise legacy point-to-point integrations into loosely coupled, scalable and maintainable cloud-native patterns. Assess and implement synchronous versus asynchronous patterns, delivery semantics, ordering, idempotency, deduplication, dead-letter handling and eventual consistency.

Design, publish and govern APIs using Azure API Management and AWS API Gateway, including policies, authentication, authorisation, throttling, quotas, versioning, transformations, caching, lifecycle management and developer onboarding. Integrate with Microsoft 365 services through Microsoft Graph, including appropriate permissions, consent models, webhook subscriptions, change notifications and throttling-aware implementations. Implement workload identity and zero-trust patterns using Managed Identities, AWS IAM roles, OAuth 2.0 and OpenID Connect, avoiding embedded credentials wherever possible.

Protect credentials, certificates, keys and connection details using Azure Key Vault or AWS Secrets Manager, including secure rotation and access-control practices. Apply least privilege, managed service-to-service authentication, network controls, encryption and secure API exposure throughout the integration lifecycle. Contribute to threat modelling, security reviews and remediation of integration components in collaboration with Cyber Security and Cloud teams.

Integrate Azure

OpenAI, Azure AI Foundry, AWS Bedrock, Microsoft Copilot Studio, AI agents and other model endpoints into enterprise workflows and applications. Ensure sensitive data, prompts, model outputs and integration telemetry are handled in accordance with security, privacy and responsible AI requirements. Instrument integrations end to end using Application Insights, Azure Monitor, AWS CloudWatch and OpenTelemetry.

Perform production troubleshooting and root-cause analysis across distributed systems, and produce runbooks that enable effective support and incident response.



Infrastructure as Code, CI/CD & Quality Engineering Provision and configure integration services using Terraform and Bicep, with modular, reusable and environment-aware infrastructure definitions. Build CI/CD pipelines using Azure DevOps or GitHub Actions, incorporating code quality, security scanning, automated tests, deployment approvals and rollback strategies.

Implement unit, contract, integration, end-to-end, performance, resilience and failure-mode testing for APIs, workflows and event-driven components. Use source control, peer review, branching and release-management practices appropriate to enterprise delivery. Optimise solutions for scalability, reliability, maintainability, performance and cloud cost.

Agile

Delivery, Documentation & Continuous Improvement Work with Product Owners, Architects, Testers, Cloud Developers, AI Engineers and service teams to deliver product increments against agreed sprint goals. Produce clear technical documentation covering APIs, events, message schemas, data flows, identity, deployment, observability, support and recovery procedures. 5 years of professional experience in software engineering, systems integration, cloud application development or automation, including at least 2 years delivering cloud-native integrations in production. ~ Demonstrable experience developing end-to-end business process automations, rather than only configuring integration platforms or defining architectures. ~ Demonstrable hands-on delivery of APIs, serverless components, messaging solutions and event-driven architectures on Azure or AWS. ~ Experience operating distributed integrations in production, including troubleshooting, performance analysis, resilience engineering and support handover. ~ Experience working in Agile delivery teams and collaborating with architecture, security, test, data and operations functions. ~ Fluent Spanish and professional working proficiency in English. Relevant certifications such as Azure Developer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS Developer or Solutions Architect, and HashiCorp Terraform Associate.

Experience with containers, Kubernetes, Dapr, Kafka or enterprise integration platforms is advantageous. Bachelor's degree or equivalent practical experience in computer science, software engineering or a related discipline. Hybrid working model, with Madrid preferred and flexibility to work from SCC Spain offices as required.

📌 Senior Automation Tester (Madrid)
🏢 Scc España
📍 Madrid