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Ariel LevAL

Ariel Lev

Principal Engineer

€900/day
München, DE
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ariel

Architect & Engineering Leader with over 15 years of experience across the entire technical stack, specializing in cloud-native platforms and AI-driven systems. My focus is at the intersection of deep technical implementation and organizational impact. Throughout my career, I have led engineering teams to automate multi-region Kubernetes management and scale voice AI systems for over 2,500 users, among other achievements. With expertise ranging from leading large teams in critical operational areas to Principal-level architecture at Slalom and EPAM, I focus on establishing engineering standards and high-performance cultures that enable companies to successfully scale their technical products.
  • German

    Native or bilingual

  • English

    Native or bilingual

  • Hebrew

    Native or bilingual

Can work on-site
München (up to 50km)

Experience

  • Slalom
    Sr. Principal Engineer
    December 2024 - Today (1 year and 6 months)
    Munich, BY, Germany
    Directly responsible for personnel management of a team of 4 Platform Engineers — responsible for hiring, performance reviews, and career development — as well as establishing a framework for engineering standards and a coaching culture to accelerate project delivery. Led a team in architecting a cloud-native Voice AI system for a major client in the inspection sector. Enabled 2,500 field service employees to perform completely hands-free documentation via real-time transcription and AI agents — eliminating manual data entry for 440,000 inspections per month and reducing cost per user from $9 to $1. Stack: AWS (DynamoDB, S3, Transcribe, CloudFront, API Gateway, Bedrock), ElevenLabs, Claude.
    Led a team in automating multi-region Kubernetes cluster management for a global SaaS market leader; reduced provisioning time from 3 weeks to under a day and eliminated 90% of configuration errors. Stack: EKS, Terragrunt, Python, Bash, ArgoCD. Accelerator - Cloud-Agnostic AI Platform: an agnostic, platform as an accelerator. Enables tenant-based management of LLMs at enterprise scale with parallel deployment of multiple base models and dynamic LoRA adapter serving. Designed the production infrastructure using open-source tools (ArgoCD, Karpenter, vLLM, SGLang) including automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning.
  • Epam Systems
    System Architect
    November 2023 - November 2024 (1 year)
    Munich, BY, Germany
    Architecture and design of cloud-native solutions on AWS.

    Architected an AWS-native data platform for a multinational biotech client, enabling multiple teams to run independent, decentralized workloads for genomic, scientific, and production line data sets scalably. Stack: S3, Athena, Glue, SageMaker, LakeFormation.
    Prototyped a production-ready Databricks analytics platform for an interdisciplinary team of Data Engineers, ML Engineers, and Data Scientists, designed for multi-team scalability, with automated CI/CD, shared conventions, and reusable infrastructure patterns.
  • Valerann
    Tech Lead – Cloud, Devops & Platform
    May 2021 - October 2023 (2 years and 5 months)
    London, UK
    Early-stage B2B SaaS startup (~20 engineers) in the Intelligent Transportation Systems domain.

    Led a team of 4 engineers; established an ownership-driven culture that empowered engineers to make independent technical decisions and be responsible for production deployments end-to-end.
    Architected, developed, and designed a highly available, business-critical cloud platform that ingests, organizes, and processes CCTV data from hundreds of parallel camera streams 24/7. Stack: Kubernetes, Kafka, AWS, Azure, Microservices, Python, React, Airflow, Terraform, Docker, Snyk, Istio, ArgoCD, Prometheus, Grafana, Opsgenie, Github.
    Led the end-to-end migration from AWS/ECS to a multi-region Kubernetes mesh. Successfully operated 3 production clusters and dozens of microservices.
    Developed a high-performance CI/CD system with self-hosted runners, scalable to 100+ parallel builds — enabling new employees to become productive on their first day.

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Education

  • B.Sc.
    The Hebrew University of Jerusalem
    2009
    B.Sc.

Skill set

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