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Ariel LevAL
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Ariel Lev

@ariellev

I architect cloud-native AI platforms, leading teams to scale production impact.

Germany
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What I'm looking for

I’m looking for a role where I can lead principal-level cloud-native AI/platform architecture, set engineering standards, and build high-performance teams while scaling mission-critical production systems.

I’m a Principal Engineer with 15+ years across the full technical stack, specializing in cloud-native platforms and AI-driven systems. I bridge deep technical execution with organizational impact, and I’ve led engineering squads to automate multi-region Kubernetes management and scale voice-AI for real-world users.

At Slalom, I’ve owned team leadership and engineering standards, then delivered high-leverage systems—like a cloud-native voice AI platform that enabled hands-free documentation for 2,500+ inspectors, and Kubernetes automation that cut provisioning time from 3 weeks to under a day. Earlier, I built AWS-native data platforms and prototyped scalable analytics infrastructure, and I architected a cloud-agnostic, Kubernetes-native accelerator for multi-tenant LLM serving using production-grade tooling and cost-optimized GPU provisioning.

Experience

Work history, roles, and key accomplishments

ES

System Architect

Nov 2023 - Nov 2024 (1 year)

Designed AWS-native architectures for a multinational biotech client, enabling multiple teams to run independent decentralized workloads across genomic and production-line datasets at scale. Prototyped a production-grade Databricks analytics platform with reusable infrastructure patterns and automated CI/CD for multidisciplinary teams.

VA

Tech Lead, Cloud Platform

Valerann

May 2021 - Oct 2023 (2 years 5 months)

Led a team of 4 to build an ownership-driven culture and deliver end-to-end production deployments for an intelligent transportation B2B SaaS. Architected and led a migration from AWS/ECS to a multi-region Kubernetes mesh, operating 3 production clusters while scaling CI/CD to 100+ parallel builds.

BF

Machine Learning Engineer

BFFT/EDAG

Apr 2017 - Sep 2018 (1 year 5 months)

Developed connected car services for a premium German automotive manufacturer, focusing on swarm data analytics and smart mobility functions. Architected and built distributed, event-driven applications for large-scale vehicle data processing and maintained on-prem infrastructure with automated CI/CD pipelines.

Education

Degrees, certifications, and relevant coursework

The Hebrew University of Jerusalem logoTJ

The Hebrew University of Jerusalem

Bachelor of Science, Computer Science and Business Management

2006 - 2009

Earned a B.Sc. in Computer Science and Business Management at The Hebrew University of Jerusalem.

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