Cloud/ DevOps Engineering Lead

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. Data & Analytics, Senior level.

Responsibilities

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

Requirements

6+ years of experience in CloudOps, DevOps, Platform Engineering, Infrastructure Engineering, SRE, or Enterprise Operations; Strong experience leading DevOps or platform engineering workstreams within complex enterprise transformation programs; Hands-on experience with Microsoft Azure (networking, compute, storage, identity, security, monitoring, and automation) and hybrid cloud/on-premises environments; Solid infrastructure knowledge, including enterprise networking, Windows/Linux servers, firewalls, VPN, DNS, certificates, file transfers, and operational support; Experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, GitLab CI) and Infrastructure as Code (Terraform, Bicep, ARM, Ansible); Experience with monitoring and observability tools such as Azure Monitor, Log Analytics, Datadog, Grafana, or Prometheus; Good understanding of cloud security and operations, including IAM/RBAC, Key Vault, private networking, logging, alerting, and vulnerability management; Strong knowledge of release management, deployment governance, incident management, and production support; Excellent communication, problem-solving, and stakeholder management skills, with the ability to collaborate across CloudOps, SAP, AI, Data Engineering, Security, and Infrastructure teams; Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related technical field

Nice to have

Experience supporting SAP-connected environments is highly desirable; Experience with Azure AI, LLM-based applications, AI workloads, or AI-enabled automation is a strong plus; Experience with Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse, Power BI, or similar data platforms is a plus; Experience with containers and orchestration technologies such as Docker, Kubernetes, AKS, or Azure Container Apps is a plus; Master's degree is a plus

Benefits

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