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Sembi

IT Platform Engineer, Data Lake, AI Gateway

Sembi

IT Platform Engineer building Sembi's AWS-native data lake and AI gateway. Operating secure, self-service infrastructure, pipelines, and model access for internal AI enablement.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining AWS-native lakehouse foundations, utilizing Python, Glue, and Athena for data pipeline development. Proficient in infrastructure-as-code practices with Terraform, ensuring secure and efficient operations across data and model layers.

Highest-signal resume keywords
AWS FundamentalsPython ProficiencyInfrastructure-as-Code with TerraformData Engineering in Pipeline DesignAgile Process Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonAWSTerraformGlueAthenaData Pipeline DesignInfrastructure ManagementVersion ControlMonitoringFailure Handling
Soft Skills
Independent WorkCollaboration
Tools & Technologies
AWS S3LLM GatewayBedrockAPI ProxiesZero-Trust Access Controls
Industry Keywords
Infrastructure-as-CodeData LakehouseIAM ScopingNetwork ControlsAgile Methodology

Tech Stack

Tools & technologies
AWSPythonTerraform

About the role

Key responsibilities & impact
  • Build and maintain the AWS-native lakehouse foundation using Python, Glue, Athena, S3, and Iceberg medallion-style layering
  • Manage infrastructure through code with version control, review, and repeatable deployments
  • Build and maintain reliable data pipelines with monitoring and failure handling
  • Operate and support the internal AI platform, including the 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 align platforms with broader operations standards

Requirements

What you’ll need
  • Strong infrastructure-as-code experience with Terraform or equivalent as a primary way of working
  • Solid AWS fundamentals across IAM, networking including VPC and PrivateLink, and S3
  • Proficiency in Python for data pipelines, automation, and tooling
  • Comfort operating production infrastructure independently as an individual contributor
  • Experience managing work through an Agile process
  • Platform experience with LLM gateways, API proxies, or Bedrock/model-serving infrastructure is a strong plus
  • Data engineering depth in pipeline design, Glue/Athena, and lakehouse patterns is a strong plus
  • Ability to work independently across time zones while keeping CST hours for collaboration

Benefits

Comp & perks
  • Remote work
  • Ability to work independently across time zones
  • Collaboration during CST hours