
1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
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1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.
• Design and build well-tested features and services, primarily in Go, under the guidance of senior engineers. • Participate in code reviews and pair programming to maintain code quality and share learning. • Contribute to CI/CD pipelines and deployment processes, including Kubernetes and infrastructure automation. • Help implement monitoring, logging, and alerting to support system reliability. • Collaborate with senior engineers and cross-functional teams to deliver scoped portions of larger technical initiatives. • Develop expertise in distributed systems, cloud infrastructure, and security best practices through hands-on work and mentorship. • Participate across the development lifecycle from design discussions through deployment.
• 2–4 years of experience building and maintaining software systems professionally • Growing proficiency in Go; familiarity with another backend language such as Python is a plus • Basic understanding of AWS or GCP cloud infrastructure and Docker/Kubernetes containerization • Understanding of distributed systems fundamentals, including APIs, messaging, and data consistency • Experience with CI/CD tools and automated testing practices • Familiarity with observability practices and tools for logging, metrics, and alerting • Basic understanding of application security principles such as OWASP • Strong communication and collaboration skills with distributed, cross-functional teams • Ability to work under general guidance and progressively take on independent ownership • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Exposure to LLMs, prompt engineering, or model evaluation pipelines is preferred • Comfort with React and TypeScript is preferred
• Great Mission and Culture • Meaningful Work • Market competitive salary • Quarterly variable compensation • Hybrid Working Model • Comprehensive medical cover • Group life insurance • Personal development and growth opportunities
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