Cloud/ DevOps Engineering Lead (Fashion)

We are looking for a Cloud/DevOps Engineering Lead to join our Data and Analytics team in our Digital Campus in Porto.

What we offer

• Work on a large-scale AI-assisted SAP migration and data modernization program.

• Become the go-to person for cloud, DevOps, hybrid infrastructure, deployment automation, monitoring, and operational readiness.

• Lead the setup of secure cloud and on-premise integration patterns for SAP migration, AI factory execution, data platform delivery, and BI consumption.

• Work closely with SAP, AI, Data Engineering, BI, Security, Governance, and Business teams to enable reliable end-to-end delivery.

• Contribute to the implementation of secure environments, CI/CD pipelines, monitoring, cost control, resilience, and production support processes.

• Become part of a fast-growing international and diverse team.

What you will do

• Lead the CloudOps and DevOps workstream for an AI-assisted SAP migration and modern data platform program.

• Design and implement secure cloud, hybrid, and on-premise integration patterns required for SAP migration, AI automation, data engineering, BI, and governance use cases.

• Define the DevOps roadmap, operational model, deployment standards, monitoring approach, and platform readiness plan.

• Lead the setup of CI/CD pipelines, release processes, branching strategies, environment promotion, automated testing integration, and deployment controls.

• Support implementation of infrastructure-as-code patterns for cloud services, networking, security, compute, storage, monitoring, and platform components.

• Enable secure connectivity between cloud platforms and on-premise SAP systems, data sources, file shares, schedulers, APIs, and enterprise infrastructure.

• Work with SAP teams to support connectivity, orchestration, batch scheduling, data extraction, delta loads, secure file transfer, and operational dependencies.

• Work with AI teams to provide secure execution environments for AI agents, automation services, APIs, backend components, model integrations, logging, monitoring, and cost tracking.

• Work with Data Engineering teams to support deployment of data pipelines, lakehouse components, data quality frameworks, metadata workflows, and reconciliation services.

• Work with BI teams to support Power BI / Fabric workspace setup, gateway configuration, deployment pipelines, access management, and report release processes.

• Define and implement monitoring, alerting, logging, incident management, service health checks, operational dashboards, and runbooks.

• Support hybrid operations across cloud and on-premise environments, including network dependencies, firewall rules, gateways, private endpoints, identity, certificates, and secure access patterns.

• Implement access controls, secrets management, identity integration, service principals, managed identities, RBAC, and least-privilege operating models.

• Support security reviews, architecture reviews, compliance checks, audit evidence collection, and operational risk mitigation.

• Define resilience, backup, disaster recovery, high availability, rollback, and cutover support patterns.

• Lead platform readiness activities for pilot delivery, migration waves, UAT, production deployment, hypercare, and handover to operations.

• Coordinate with client infrastructure, security, SAP Basis, network, and operations teams to resolve blockers and dependencies.

• Support the operational usage of SAP tooling, AI tooling, and migration automation tooling where required.

• Coach DevOps engineers and delivery teams on engineering standards, automation, monitoring, release discipline, and operational excellence.

What you’ll bring

• 8+ years of experience in CloudOps, DevOps, platform engineering, infrastructure engineering, SRE, or enterprise operations.

• Strong experience leading DevOps or platform engineering workstreams in complex enterprise transformation programs.

• Hands-on experience with cloud platforms, preferably Microsoft Azure, including networking, compute, storage, identity, security, monitoring, and automation services.

• Strong on-premise infrastructure experience, including enterprise networking, firewalls, DNS, VPN/private connectivity, Windows/Linux servers, schedulers, gateways, certificates, service accounts, file transfers, and operational support processes.

• Experience working in hybrid cloud and on-premise landscapes, especially where cloud data platforms must securely connect to SAP or other enterprise systems.

• Experience with CI/CD tools such as Azure DevOps Pipelines, GitHub Actions, Jenkins, GitLab CI, or similar.

• Experience with infrastructure-as-code using Terraform, Bicep, ARM templates, Ansible, or similar technologies.

• Experience with monitoring and observability tools such as Azure Monitor, Log Analytics, Application Insights, Datadog, Grafana, Prometheus, or similar.

• Good understanding of security and operations topics, including RBAC, IAM, secrets management, key vaults, private endpoints, network isolation, logging, alerting, vulnerability management, and audit evidence.

• Experience supporting SAP-connected environments is a strong plus, including SAP Basis coordination, SAP connectivity, batch scheduling, file transfers, extractors, interfaces, and operational dependencies.

• Experience using or supporting SAP tooling is a plus, including SAP BW, SAP HANA, SAP GUI, SAP Basis tooling, SAP transport management, SAP connectivity tools, SAP data extraction tools, SAP monitoring, or SAP interface technologies.

• Experience using or supporting AI tooling is a plus, including Azure AI Foundry, Azure OpenAI / OpenAI models, AI agents, LLM-based applications, RAG solutions, AI evaluation, monitoring, logging, and cost-control tools.

• Experience enabling DevOps and operational support for AI-assisted migration tools, automation agents, backend services, APIs, and enterprise AI workloads is a strong plus.

• Experience with Microsoft Fabric, Power BI deployment pipelines, data gateways, Databricks, Azure Data Factory, Azure Synapse, or lakehouse platforms is a strong plus.

• Experience supporting AI-enabled solutions, backend services, APIs, automation workflows, containerized workloads, or model integrations is a plus.

• Experience with containers and orchestration technologies such as Docker, Kubernetes, Azure Container Apps, AKS, or similar is a plus.

• Strong understanding of release management, environment promotion, deployment governance, incident management, runbooks, hypercare, and handover to operations.

• Ability to define operational standards, quality gates, monitoring requirements, and readiness criteria for production systems.

• Strong problem-solving skills, ownership mindset, and ability to work with ambiguity in complex transformation environments.

• Strong communication skills, with the ability to explain cloud, DevOps, and infrastructure topics to technical and non-technical stakeholders.

• Customer centric, pragmatic, and passionate about secure, reliable, and automated delivery.

• Comfortable working across CloudOps, SAP, AI, Data Engineering, BI, Governance, Security, PMO, and client infrastructure teams.

• A Bachelor's Degree in Computer Science, Information Systems, Engineering, Infrastructure, Cybersecurity, or another related technical discipline. A Master’s Degree is a plus.