
Job Overview
Location
Ukraine
Job Type
Full-time
Category
DevOps & SysAdmin
Date Posted
April 19, 2026
Full Job Description
📋 Description
- • ML Ops Engineer responsible for building and operating production-grade model serving infrastructure for AI-native cloud services, focusing on scalable, reliable, and efficient inference systems for GPU-powered workloads.
- • Day-to-day tasks include designing deployment pipelines with blue/green and canary strategies, optimizing GPU utilization and network throughput, developing auto-scaling systems, managing model registries and CI/CD pipelines, and implementing observability for latency, throughput, and cost metrics.
- • Part of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services with a decentralized architecture that reduces environmental impact compared to traditional providers.
- • Opportunity to own the full lifecycle of ML systems, influence core engineering decisions, define platform best practices, and gain deep expertise in next-generation AI infrastructure while working on greenfield projects in a high-growth startup environment.
Skills & Technologies
About Pragmatike Soluciones Tecnológicas S.L.
Spanish technology firm founded in 2014, delivering custom software, mobile apps, cloud migration, and data analytics. Combines agile development, AI, and DevOps practices to serve finance, healthcare, retail, and public sectors across Europe and Latin America. Core services include UX/UI design, QA automation, and 24/7 managed support, with ISO 27001-certified processes and multilingual teams in Madrid, Barcelona, and remote hubs.
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