The company is on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation for generative AI. They are seeking a Forward-Deployed Engineer to join their founding team and bring their AI-native data infrastructure to life in real-world environments. This hybrid role involves building, deploying, and scaling their platform in diverse customer environments, owning the infrastructure stack, and collaborating with ML and infra engineers to ensure customers get value from day one.
Requirements
- 3+ years of experience in backend or infrastructure roles
- Deep familiarity with Kubernetes, Docker, Terraform, and Helm
- Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.)
- Fluency in at least one scripting language (Python, Bash, Go preferred)
- Strong debugging skills across the stack
- Experience deploying in cloud-native environments (AWS/GCP/Azure)
- Comfortable being customer-facing and managing ambiguity in real-time
- Strong sense of ownership and bias toward action in early-stage environments
Benefits
- Competitive salary
- Opportunity to work on a cutting-edge platform
- Collaborative and supportive team environment
- Chance to shape the future of enterprise AI