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Vill du bygga säkra molnplattformar där automation och säkerhet följer hela leveransen? Som DevSecOps Engineer kombinerar du arkitektur med praktisk utveckling i varierande kunduppdrag. Du designar, automatiserar och…
DevOps Engineer DevOps Engineer 6-month contract Remote Working Outside IR35 Market Rates (c£475 per day) The Opportunity: Our client is supporting a major UK Government Agency on a large-scale cloud transformation…
Darauf richtest Du Deinen Fokus: Strategisches Account Management: Du entwickelst und steuerst Account-Pläne für Corporate- und Enterprise-Kund und baust eine nachhaltige, hochwertige Sales Pipeline mit Fokus auf…
Cloud Architect designing scalable end-to-end architectures and leading migrations to Google Cloud for consulting clients in Frankfurt, with technical leadership, presales, and client-facing responsibilities.
Build and optimize Conga’s AI/GenAI platform, designing scalable systems in Python/FastAPI, deploying models via MLOps, and mentoring engineers to power enterprise contract and revenue solutions.
Build and deploy enterprise-grade AI and GenAI services using Python, FastAPI, and MLOps tools to power Conga’s commercial software products.
Build and maintain enterprise AI and GenAI products using Python, FastAPI, and cloud-native tools; contribute to MLOps pipelines and model deployment for Conga’s commercial operations platform.
A career that’s the whole package! At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an…
Lead the design and deployment of scalable AI/GenAI systems at Conga, shaping the intelligence engine behind commercial operations like pricing and contracting.
Build and deploy Python-based agentic automations and AI agents on GCP, turning business processes into production-grade, measurable systems.
Build and modernize AI-powered workflow and data-exploration platforms in Java/Go/JavaScript, integrating BigQuery and MCP for AI agents and users.
Salary: 50.000 - 80.000 € per year Requirements: Mehrjährige praktische Erfahrung als Tech Lead, Principal Engineer oder Lead Platform Engineer in einer produktorientierten Engineering-Organisation, idealerweise mit…
Builds AI-driven data pipelines and predictive models to optimize retail operations like demand forecasting, inventory allocation, and marketing attribution using Google Cloud (BigQuery, Vertex AI).
OnTrac is hiring a Senior Cloud Infrastructure Engineer! Are you eager to join a dynamic and expanding company where you can both learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy…
The MLOps & DevOps Engineer will design and maintain infrastructure and automated pipelines for scalable AI platforms and RAG workflows. The role involves working with GCP, Terraform, GKE, and Vertex AI to manage model deployment, data ingestion, and system observability.
The Senior DevOps Engineer will manage CI/CD pipelines, cloud infrastructure, and container orchestration for Node.js and React applications. The role requires extensive experience with GCP and AWS, infrastructure as code, and integrating AI-assisted coding workflows into daily operations.
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
UXBERT Labs is seeking a Senior DevOps Engineer to manage CI/CD pipelines, infrastructure as code, and containerization for Node.js and React applications. The role involves cloud networking, Kubernetes cluster management, and utilizing AI-driven coding practices.
Senior DevOps Engineer designs, deploys, and manages GCP cloud infrastructure and CI/CD pipelines for a global investment bank's compliance archive products, using Terraform, Kubernetes, and GitHub Actions.
AI Full Stack Engineer at Deutsche Bank designing and building AI-powered applications using Python, FastAPI/Flask, Google VertexAI, and React JS, with focus on LLMs and semantic search for enterprise documents.
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