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Sembi

IT Platform Engineer (Data Lake and AI Gateway)

Posted One Month Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.
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Role

Build and operate Sembi's AWS-native data lake and AI gateway. This is a hands-on IC role focused on infrastructure-as-code, cloud data services and the platform layer that supports internal AI enablement. You will own the plumbing that makes data and model access reliable, secure, and self-service for the rest of the org.

What you'll do
  • Build and maintain the AWS-native lakehouse foundation using Python, Glue, Athena and S3, including medallion-style layering from raw through curated tables (Iceberg).
  • Manage all infrastructure through code (Terraform or equivalent), with version control, review, and repeatable deployments as the default.
  • Build and maintain data pipelines that move and transform data into the lake reliably, with monitoring and clear failure handling.
  • Operate/support the internal AI platform including LLM gateway, Bedrock, custom utilities and zero-trust access controls.
  • Enforce security and access baselines across data and model layers, including IAM scoping, network controls, and secrets handling.
  • Partner with IT, Security, and Engineering to keep the platforms aligned with broader operations standards.
Required
  • Strong infrastructure-as-code experience (Terraform or equivalent) as a primary way of working, not an afterthought.
  • Solid AWS fundamentals across IAM, networking (VPC, PrivateLink), and S3.
  • Proficiency in Python for data pipelines, automation and tooling.
  • Comfort operating production infrastructure independently as an IC and managing work through an Agile process.
Preferred (either is a strong plus)
  • Platform experience with LLM gateways, API proxies, or Bedrock/model-serving infrastructure.
  • Data engineering depth: pipeline design, Glue/Athena, and lakehouse patterns.
You'll do well here if
  • You default to automation and reproducibility over manual fixes.
  • You are direct about tradeoffs and gaps rather than papering over them.
  • You can work independently across time zones while keeping CST hours for collaboration.

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