Jobs at Metyis

The Senior DevOps Engineer will design and maintain integration solutions in a multi-cloud environment, focusing on automation and system performance, while collaborating with developers and architects.

Design, build and maintain end-to-end data solutions including ETL, data processing, automation and scalable pipelines. Work with data scientists and cross-functional teams to acquire, clean, integrate and analyze structured and unstructured data. Diagnose issues, develop solutions, and communicate findings to clients and stakeholders.

Lead data engineering efforts: design architecture, build and deploy ETL/ELT pipelines, manage Azure-based data platforms, collaborate with data scientists, coach team members, and engage stakeholders to deliver data products and analytics.

Translate business problems into analytical solutions across the ML lifecycle: data wrangling, model development, deployment and monitoring. Build and productionize models (churn, CLV, segmentation, personalization) using MLOps tools and cloud platforms, apply statistical testing, create visual narratives for stakeholders, and collaborate with cross-functional teams in an agile environment.

Serve as strategic right hand to senior leaders on a major client partnership: establish and run a PMO, translate strategy into execution roadmaps, prepare executive materials, manage stakeholders, run leadership forums, and drive continuous improvement and confidentiality in partnership delivery.

Lead analysis, migration and modernization of SAP BW/HANA and ABAP data flows. Design scalable cloud-ready data processing, define migration strategies, validate source-to-target mappings, support AI-assisted migration, manage integration technologies, lead technical reviews, testing, cutover and post-go-live support, and drive data governance and metadata management.

Lead development and implementation of data governance frameworks across SHV group; consult subsidiaries, run maturity assessments and gap analyses, define policies and standards, oversee data quality audits, ensure data privacy/regulatory compliance, facilitate governance councils, and deliver training and stakeholder engagement.

Lead SAP BW/ABAP migration and modernization efforts: analyze and re-engineer BW objects and ABAP programs, design cloud-ready data processing, define migration strategies, validate data, support AI-assisted migration, and provide technical leadership and post-go-live support.

Lead SAP-to-modern-data-platform migration architecture, define migration strategy and waves, assess SAP landscapes (BW, HANA, ABAP), guide technical teams, integrate AI-assisted migration tooling, ensure data quality, lineage, governance, and reconciliations, and coordinate stakeholders across Data Engineering, BI, AI, and business teams to deliver scalable, auditable migrations.

Lead migration and modernization of SAP BW/HANA/ABAP to cloud platforms. Analyze BW objects and ABAP code, design scalable data processing and delta-load strategies, integrate via IDocs/RFCs/BAPIs/CDS/OData/APIs, validate migrations, support testing/cutover, troubleshoot performance and data quality, and collaborate with SAP, data engineering, BI, AI, and cloud teams.

Lead analysis, migration, and modernization of SAP BW/BW4HANA, SAP HANA, and ABAP solutions to cloud platforms. Design scalable, cloud-ready ETL and integration solutions, develop migration specs and mappings, support testing and cutover, troubleshoot data and performance issues, and collaborate with SAP, Data Engineering, BI, AI, and Cloud teams.

Lead Cloud/DevOps engineering for an AI-assisted SAP migration and modern data platform. Design secure hybrid cloud/on‑prem integration patterns, define DevOps roadmaps, implement CI/CD and IaC, enable observability and security controls, coordinate across SAP, AI, Data, BI and security teams, and coach delivery teams through migration, deployment, and production readiness.

Support development and testing of generative AI models, prepare and process data for AI applications, gather requirements from cross-functional teams, contribute to knowledge sharing, and help communicate technical findings to stakeholders through presentations and documentation.

Design, develop, and deploy generative AI models for business use cases. Collaborate with business and technical teams to identify AI opportunities, conduct research on generative AI advancements, and integrate innovations into production solutions.

Lead technical roadmap and architecture for client data platforms. Design and deliver end-to-end ETL/ELT pipelines on Azure, collaborate with data scientists, ensure testing and CI/CD, coach teams, manage stakeholders, and implement data governance and scalable analytics solutions.

Develop and maintain native Android applications in Kotlin. Build native modules, integrate enterprise backends (Shopify, Azure), implement features like biometric auth, barcode scanning, push notifications, and offline support. Collaborate with designers, React Native teams, backend, QA, and DevOps; write tests, support CI/CD, and participate in estimation and documentation.

Develop and maintain native Android applications in Kotlin, collaborate with React Native teams, implement native modules and enterprise integrations (Shopify, Azure), optimize performance, implement features like biometric auth, barcode scanning, push notifications and offline support, write tests, support CI/CD with Azure DevOps, and coordinate with global teams.

Develop and maintain native iOS applications using Swift and modern frameworks; build native modules for enterprise apps; integrate with backend services (Shopify Headless APIs, Azure Middleware, ERP); implement Face ID/Touch ID, push notifications, deep linking, Apple Wallet, offline support; collaborate with React Native, UX/UI, backend, QA and DevOps teams; write unit/UI tests, support CI/CD with Azure DevOps, and document and optimize app performance.

Develop and maintain native iOS applications using Swift and modern frameworks, integrate enterprise backends (Shopify, Azure Middleware, ERP), implement native capabilities (Face ID, Apple Wallet, push notifications), collaborate with designers and cross-functional teams, write unit/UI tests, and support CI/CD with Azure DevOps.

Lead and deliver Azure-based data platforms and production ETL/ELT pipelines, own architecture and technical roadmap, coach a small team, collaborate with data scientists, implement CI/CD and automated testing, and produce data products, insights, and dashboards while managing stakeholder relationships.