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Lead ML Devops Engineer
Job Description: Job Title: Lead GCP MLOps Engineer DCF: L35 Experience: 5 - 8 Years Role Summary We are seeking a highly skilled Senior GCP MLOps Engineer to support the deployment, automation, and operationalization…
Data SRE — Bucharest Sovereign Cloud Hub
Location: Bucharest, Romania Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence…
Associate Data Platform Engineering Manager
From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange 'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic.…
Expert DevOps Engineer
Forma zatrudnienia: umowa o pracę Lokalizacja: ul. Sokolska 43, Katowice lub ul. Puławska 2, Warszawa (2 dni w tygodniu pracujemy z biura) Wynagrodzenie: 21 000 - 26 000 PLN brutto O zespole: Dołączysz do zespołu…
Cloud Solution Architect
Function IT Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on…
Senior Site Reliability Engineer – Unified Observability
About NCR VOYIX NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and…
Staff II Software Engineer
Make Your Mark: We are looking for an accomplished, deeply hands-on Senior Staff Engineer with 15+ years of software engineering experience and a focused track record in Agentic AI,Generative AI systems and…
Lead AI Engineer
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a…
DevOps Engineer (Azure & Kubernetes)
Designs, implements, and maintains CI/CD pipelines and cloud infrastructure for Azure and Kubernetes, ensuring scalable, secure, and cost-optimized deployments while collaborating with development teams.
Cloud & Infrastructure Engineer
Designs, builds, and maintains secure, scalable cloud infrastructure on AWS/Azure/GCP and collaborates with backend teams to deploy and optimize end-to-end systems.
백엔드 엔지니어 (Full Stack, 8년 이상)
Builds and operates scalable backend services for AI-driven personalized nutrition and wellness products in a Seoul-based healthtech startup, integrating IoT devices and cloud infrastructure.
DevOps Engineer
DevOps Engineer builds and maintains Kubernetes-based platforms, CI/CD pipelines, and cloud infrastructure to improve developer productivity and system reliability for a Korean telecom comparison platform.
Senior DevOps Specialist (GCP)
Senior DevOps Specialist (8+ years TEX, 5+ years REX) About the Client We are hiring for a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities…
Senior DevOps Engineer, AI4ALL
Senior DevOps Engineer designs and maintains secure cloud infrastructure on GCP and AWS, automates AI application deployments with Kubernetes, and implements CI/CD pipelines for high-availability systems.
Dynamo AI — Forward Deployed Engineer
Deploys and integrates AI reliability tools (evaluation, guardrails, observability) into regulated enterprise environments, primarily on Kubernetes across AWS/Azure/GCP, while working directly with customer teams.
Senior/Staff Platform Engineer
Build and own the foundational compute, orchestration, and infrastructure layer for an AI-driven code review platform on GCP, setting architectural direction for a growing product suite.
Senior DevOps Engineer
Senior DevOps Engineer builds and runs a high-cadence, multi-cloud platform for AI-powered customer experience tools, focusing on CI/CD, Kubernetes, and observability.
Senior AI Infrastructure Architect (GCP, GKE, MLOps)
Designs and deploys GPU-accelerated cloud infrastructure on GCP using GKE and MLOps pipelines for AI model training and deployment in security and urban intelligence.
Senior AI Infrastructure Architect (GCP /Kubernetes /Vertex AI /NVIDIA)
Designs and builds GPU-powered, cloud-native AI infrastructure and MLOps platforms on GCP/GKE, integrating NVIDIA acceleration and Vertex AI for scalable model training and deployment.
