Ariel Lev
@ariellev
I architect cloud-native AI platforms, leading teams to scale production impact.
What I'm looking for
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
Managed a team of 4 Platform Engineers and established engineering standards and a coaching culture to accelerate client delivery. Architected a cloud-native voice AI system for 2,500 field inspectors, eliminating manual entry across 440,000 inspections per month and reducing per-user cost from $9 to $1.
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.
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.
Architected a cloud-native ML recommendation engine for a premium automotive online shop, automating the end-to-end ML lifecycle from ingestion to inference. Led architecture for an MES software delivery platform migration by translating complex legacy requirements into a structured, actionable architecture.
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.
Applied Python and R to analyze financial data and build customer segmentation models within transaction services. Delivered analytics focused on deriving actionable customer insights from transactional datasets.
Built scalable RESTful services and full-stack web components for connected car infotainment products. Established CI/CD pipelines and led Android mobile development to enable continuous delivery within an Agile team.
Software Engineer
OpenSynergy
Apr 2011 - Apr 2013 (2 years)
Developed car telemetry systems and connected vehicle functions using Java, Android, and C/C++. Contributed to building and maintaining features for connected-car experiences in automotive systems.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
GitHub
Kubernetes
Jenkins
GitHub Actions
Pandas
MongoDB
Cassandra
Node.js
Vert.x
Web Components
Databricks
Terraform
Azure DevOps
Java
Loki
MLflow
Kubeflow
Kafka
FastAPI
Istio
Grafana
Prometheus
Linux
Gemini
GraphQL
Elasticsearch
JUnit
Keycloak
Airflow
SQL
OpsGenie
Snyk
LangChain
LiteLLM
ElevenLabs
vLLM
ArgoCD
Terragrunt
Trunk
Bash
Karpenter
Agentic
LangGraph
LangSmith
Make
SGLang
Dynamic
Factory
Remote
X++
Android
Availability
Location
Authorized to work in
Website
ariellev.comSalary expectations
Social media
Job categories
Skills
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