IT Platform Engineer (Data Lake and AI Gateway)
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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.
An Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting your application, you acknowledge that Sembi, Inc. will process and retain your resume and related personal information solely for recruitment and hiring purposes. Resumes of unsuccessful candidates will be securely deleted within twelve (12) months of the hiring decision, unless a longer period is required by law or you provide explicit consent for continued retention (e.g., for consideration for future opportunities).
In compliance with applicable privacy laws, including the EU General Data Protection Regulation (GDPR), you have the right to request access to, correction of, or deletion of your personal information at any time by contacting compliance@sembi.com. Sembi, Inc. does not sell candidate data and will ensure that all personal information is processed securely and in accordance with relevant data protection regulations.
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IT Platform Engineer (Data Lake and AI Gateway)
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.
An Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting your application, you acknowledge that Sembi, Inc. will process and retain your resume and related personal information solely for recruitment and hiring purposes. Resumes of unsuccessful candidates will be securely deleted within twelve (12) months of the hiring decision, unless a longer period is required by law or you provide explicit consent for continued retention (e.g., for consideration for future opportunities).
In compliance with applicable privacy laws, including the EU General Data Protection Regulation (GDPR), you have the right to request access to, correction of, or deletion of your personal information at any time by contacting compliance@sembi.com. Sembi, Inc. does not sell candidate data and will ensure that all personal information is processed securely and in accordance with relevant data protection regulations.
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