Jobs at Globaldev Group

Design and build scalable agentic workflows and microservices (primarily Python). Integrate generative AI, LLMs, and RAG into production. Implement observability, autonomous monitors, AI-SDLC practices, and mentor engineers while driving engineering quality.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

Provide day-to-day support and user training for SAP SD Order-to-Cash processes, assist with pricing configuration, troubleshoot tickets, support system maintenance, and collaborate on SD feature implementations and fixes.

Senior storage engineer responsible for operating and troubleshooting production Ceph and Rook-Ceph clusters on Kubernetes, including capacity planning, performance tuning, upgrades, CSI integration, Linux-level troubleshooting, automation (Ansible), Helm, and monitoring with Prometheus/Grafana. Investigates storage performance, failures, replication/CRUSH topology, and ensures high availability at scale while communicating with stakeholders.

Design, build, and maintain end-to-end AI/ML solutions including data pipelines, model development, edge deployments, and integrations. Define camera and imaging setups for computer vision use cases, coordinate installations, monitor model performance, and collaborate with IT, software, and infrastructure teams to ensure scalable, secure, and maintainable solutions.

The Senior Data Scientist will analyze complex data, develop scalable data pipelines, build machine learning models, and collaborate with various teams to enhance decision-making products.

Lead BI adoption and deliver end-to-end BI solutions: design, develop, test, monitor, support reports and alerts. Work with business, data, product, and tech teams, use SQL, Python, Big Data, Tableau, and AI tools to translate business requirements into technical solutions.

Lead Azure-focused DevOps activities for migrating an enterprise data platform to Microsoft Fabric. Build and maintain Azure DevOps CI/CD pipelines, configure self-hosted agents, manage networking, private endpoints, Key Vault, ADLS and SQL connectivity, monitor and remediate security issues with Defender for Cloud, and integrate security into deployment workflows.

The DevOps Engineer will manage cloud-based infrastructure, automate CI/CD processes, and ensure system reliability while collaborating with an IaaS provider.

Lead front-end BI strategy, develop advanced Power BI solutions, manage data models and security, integrate AI features, and collaborate with stakeholders.