Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesPython
About the role
- Design, build, and refine cloud-based solutions for running and evaluating GenAI models at scale
- Write, test, and optimize code to solve real-world challenges
- Develop automated frameworks for validating cloud-deployed AI code and workflows
- Ensure code and infrastructure are robust, efficient, and secure in cloud environments
- Collaborate with research, engineering, and product teams to integrate cloud-based feedback loops into AI model development
Requirements
- 7–10+ years of experience delivering complex software and cloud-based solutions
- Strong coding skills in Python, Java, C, C++, or JavaScript
- Hands-on expertise with major cloud platforms (AWS, Azure, or GCP)
- Proven experience building CI/CD pipelines, automated testing frameworks, and monitoring systems for cloud deployments
- Ability to evaluate and improve the efficiency, scalability, and security of cloud-native applications
- Preferred: Experience with Generative AI / LLMs; containerization (Docker, Kubernetes); data pipelines and AI evaluation workflows in the cloud