IT Platform Engineer (Data Lake and AI Gateway)

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.

• 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.

• 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.

• Platform experience with LLM gateways, API proxies, or Bedrock/model-serving infrastructure.
• Data engineering depth: pipeline design, Glue/Athena, and lakehouse patterns.

• 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.