Cloud/ DevOps Engineering Lead (Fashion)
Who we are
We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.
Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.
This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.
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.