Intern assisting in modernization initiatives for agentic AI workflows and data platforms. Supporting the development and maintenance of data pipelines and prototyping AI use cases.
About the role
- Staff Platform Engineer at Inworld responsible for building and maintaining scalable AI infrastructure. Collaborate with teams to ensure high-performance and secure cloud operations.
Responsibilities
- Work closely with backend and ML engineering teams to design, deploy, and maintain reliable and secure cloud infrastructure
- Facilitate a "you build it, you run it" culture
- Manage CI/CD pipelines
- Identify and implement opportunities to enhance engineering speed
- Conduct root cause analysis to identify critical issues
- Develop and share best practices for automation and efficiency
Requirements
- 7 years of experience in software engineering
- 5 years of experience with infrastructure-as-code
- Proficiency in managing Kubernetes clusters and applications
- Experience in creating and maintaining CI/CD pipelines (Terraform, ArgoCD, GitHub Actions, etc.)
- Deep knowledge of at least one major cloud provider (Google Cloud, Microsoft Azure, Oracle Cloud)
- Proficient in at least one backend programming/scripting language (Golang, Python, Bash)
- Experience with GPUs (optional)
- Experience with MLOps (huge plus)
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
- bonuses
- stock options
Job title
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