IT Platform Engineer, Data Lake, AI Gateway

🕒 August 6

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sembi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

☁️ SaaS

🔐 Security

🤝 B2B

SaaS • Security • B2B

Sembi is a B2B SaaS provider delivering a unified portfolio of software quality and security tools. It offers test management, automation, reporting, and AI-driven test optimization (TestRail, Xray, Testmo, Ranorex, Xporter, DesignWise) alongside application security and code-analysis solutions (PreEmptive, Kiuwan). Sembi focuses on ease of use, scalability, and enterprise-grade support to help development and QA teams improve quality, strengthen security, and accelerate product delivery.

📋 Description

• 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

• 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

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