{"id":661242,"url":"https://alion.io/job/metyis-cloud-devops-engineering-lead","title":"Cloud/ DevOps Engineering Lead","company":{"id":715787,"name":"Metyis","domain":"metyis.com","url":"https://alion.io/company/metyis","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":78,"open_postings":16,"ghost_share":0.063,"stale_share":0.688,"repost_share":0.063,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":107000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1037},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Prometheus","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"Windows","optional":false},{"name":"Azure AKS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-07-21T07:21:59Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-29T05:41:32Z","board_verified":true,"closed_at":null,"days_open":99,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":99},"description":"We are looking for a Cloud/DevOps Engineering Lead with +6 years of experience to join our Data and Analytics team in our Digital Campus in Porto.\nRequirements\nWho we are\nMetyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big 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.\nWith our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.\nWe are Metyis. Partners for Impact.\nWhat we offer\nWork on a large-scale AI-assisted SAP migration and data modernization program.\n\nBecome the go-to person for cloud, DevOps, hybrid infrastructure, deployment automation, monitoring, and operational readiness.\n\nLead the setup of secure cloud and on-premise integration patterns for SAP migration, AI factory execution, data platform delivery, and BI consumption.\n\nWork closely with SAP, AI, Data Engineering, BI, Security, Governance, and Business teams to enable reliable end-to-end delivery.\n\nContribute to the implementation of secure environments, CI/CD pipelines, monitoring, cost control, resilience, and production support processes.\n\nBecome part of a fast-growing international and diverse team.\n\nWhat you will do\nLead the CloudOps and DevOps workstream for an AI-assisted SAP migration and modern data platform program.\n\nDesign and implement secure cloud, hybrid, and on-premise integration patterns required for SAP migration, AI automation, data engineering, BI, and governance use cases.\n\nDefine the DevOps roadmap, operational model, deployment standards, monitoring approach, and platform readiness plan.\n\nLead the setup of CI/CD pipelines, release processes, branching strategies, environment promotion, automated testing integration, and deployment controls.\n\nSupport implementation of infrastructure-as-code patterns for cloud services, networking, security, compute, storage, monitoring, and platform components.\n\nEnable secure connectivity between cloud platforms and on-premise SAP systems, data sources, file shares, schedulers, APIs, and enterprise infrastructure.\n\nWork with SAP teams to support connectivity, orchestration, batch scheduling, data extraction, delta loads, secure file transfer, and operational dependencies.\n\nWork with AI teams to provide secure execution environments for AI agents, automation services, APIs, backend components, model integrations, logging, monitoring, and cost tracking.\n\nWork with Data Engineering teams to support deployment of data pipelines, lakehouse components, data quality frameworks, metadata workflows, and reconciliation services.\n\nWork with BI teams to support Power BI / Fabric workspace setup, gateway configuration, deployment pipelines, access management, and report release processes.\n\nDefine and implement monitoring, alerting, logging, incident management, service health checks, operational dashboards, and runbooks.\n\nSupport hybrid operations across cloud and on-premise environments, including network dependencies, firewall rules, gateways, private endpoints, identity, certificates, and secure access patterns.\n\nImplement access controls, secrets management, identity integration, service principals, managed identities, RBAC, and least-privilege operating models.\n\nSupport security reviews, architecture reviews, compliance checks, audit evidence collection, and operational risk mitigation.\n\nDefine resilience, backup, disaster recovery, high availability, rollback, and cutover support patterns.\n\nLead platform readiness activities for pilot delivery, migration waves, UAT, production deployment, hypercare, and handover to operations.\n\nCoordinate with client infrastructure, security, SAP Basis, network, and operations teams to resolve blockers and dependencies.\n\nSupport the operational usage of SAP tooling, AI tooling, and migration automation tooling where required.\n\nCoach DevOps engineers and delivery teams on engineering standards, automation, monitoring, release discipline, and operational excellence.\n\nWhat you will bring\n6+ years of experience in CloudOps, DevOps, Platform Engineering, Infrastructure Engineering, SRE, or Enterprise Operations.\n\nStrong experience leading DevOps or platform engineering workstreams within complex enterprise transformation programs.\n\nHands-on experience with Microsoft Azure (networking, compute, storage, identity, security, monitoring, and automation) and hybrid cloud/on-premises environments.\n\nSolid infrastructure knowledge, including enterprise networking, Windows/Linux servers, firewalls, VPN, DNS, certificates, file transfers, and operational support.\n\nExperience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, GitLab CI) and Infrastructure as Code (Terraform, Bicep, ARM, Ansible).\n\nExperience with monitoring and observability tools such as Azure Monitor, Log Analytics, Datadog, Grafana, or Prometheus.\n\nGood understanding of cloud security and operations, including IAM/RBAC, Key Vault, private networking, logging, alerting, and vulnerability management.\n\nExperience supporting SAP-connected environments is highly desirable.\n\nExperience with Azure AI, LLM-based applications, AI workloads, or AI-enabled automation is a strong plus.\n\nExperience with Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse, Power BI, or similar data platforms is a plus.\n\nExperience with containers and orchestration technologies such as Docker, Kubernetes, AKS, or Azure Container Apps is a plus.\n\nStrong knowledge of release management, deployment governance, incident management, and production support.\n\nExcellent communication, problem-solving, and stakeholder management skills, with the ability to collaborate across CloudOps, SAP, AI, Data Engineering, Security, and Infrastructure teams.\n\nBachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related technical field (Master's is a plus).\n\nWe are united by our differences\nAt Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.\nRecruitment Disclaimer\nMetyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. 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