
5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
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5001 - 10000 employees
Founded 1998
🏢 Enterprise
🤖 Artificial Intelligence
🔐 Security
Enterprise • Artificial Intelligence • Security
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
• Design and deliver full stack AI-powered applications from frontend to backend with a focus on scalability and reliability • Build and integrate LLM-powered features using AWS Bedrock, LangChain, and LangGraph • Develop and maintain RESTful and event-driven APIs that power AI workflows • Deploy and manage services on Kubernetes in collaboration with the platform team • Mentor AI Developers (SD II) through code reviews and technical guidance
• 7 to 9 years of experience in software development • Strong proficiency in Python • Solid experience with a modern frontend framework (React or Next.js) • Hands-on experience with AWS core services (Lambda, S3, ECS/EKS, API Gateway, IAM) • Practical experience building LLM-driven applications or agentic workflows • Working knowledge of foundation models and prompt-based integrations
• Health insurance • Flexible work arrangements • Professional development
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