Build and maintain production platform infrastructure and distributed systems for applied AI applications. Design and implement cloud-native, scalable systems using Kubernetes, Python/Node.js, and data streaming technologies. Requires 6-10 years of hands-on full-stack engineering experience with strong coding and production system skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
Senior Platform Engineer – Applied AI
Location: San Francisco, CA – Onsite 5 Days/Week
Compensation: Up to $300K
Visa: USC, GC, GC-EAD, H4-EAD
DL & LinkedIn Required
We are looking for a highly hands-on Senior Platform Engineer – Applied AI with 6–10 years of experience building production platform infrastructure and distributed systems while maintaining strong full-stack engineering capabilities.
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Required:
- Strong Kubernetes experience
- Python and/or Node.js
- Kafka, Redis, Elasticsearch
- AWS or GCP
- Production distributed systems/platform infrastructure
- Cloud-native architecture and scalable systems
- Strong software engineering and coding background
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Preferred Background:
- VC-backed startup or founding engineer experience
- Data-at-scale companies such as Snowflake, Databricks, or Confluent
- AI/ML infrastructure or data-platform experience
- Experience building high-throughput, highly available production systems
- CS degree from a top-tier US/Canadian/European university
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Important: This is a hands-on Individual Contributor position. Candidates should still be actively coding and building systems rather than operating primarily in management or architecture-only roles.
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