Architect & Engineering Leader w. 15 years of experience across the full tech stack, specialising in cloud-native platforms and AI-driven systems.
Aktualisiert am 27.05.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.08.2026
Verfügbar zu: 100%
davon vor Ort: 100%
AWS
Künstliche Intelligenz
DevOps
Kubernetes
Cloud Architect
Python
Microservices
LLM
Node.js
GraphQL
REST
Terraform
Teamleading
German
Fluent
English
Fluent
Hebrew
Muttersprache

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

1 year 6 months
2024-12 - now

Led a team of engineers to architect a cloud-native voice AI system

Sr. Principal Engineer Bash
Sr. Principal Engineer

  • Held direct line management responsibility for a team of 4 Platform Engineers ? owning hiring, performance reviews, and career development ? while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements
  • Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents ? eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1
  • "Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors"
  • Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using opensource tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning

API Gateway ArgoCD AWS Bedrock Claude CloudFront DynamoDB EKS ElevenLabs Python S3 Terragrunt Transcribe
Bash
Slalom
Munich
1 year 1 month
2023-11 - 2024-11

Architecture and design of cloud native solutions on AWS

System Architect
System Architect

  • Architected an AWS-native data platform for a multinational biotech client, enabling multiple teams to run independent, decentralised workloads across genomic, scientific, and production-line datasets at scale
  • Prototyped a production-grade Databricks analytics platform for a multidisciplinary team of data engineers, ML engineers, and data scientists ? architected to scale to multiple teams, with automated CI/CD, shared conventions, and reusable infrastructure patterns

Athena Glue LakeFormation S3 SageMaker
Epam Systems
Munich
2 years 6 months
2021-05 - 2023-10

Early-stage B2B SaaS startup (~20 engineers) in the Intelligent Transportation Systems domain

Tech Lead ? Cloud, Devops & Platform Microservices
Tech Lead ? Cloud, Devops & Platform

  • Led a team of 4 engineers, establishing an ownership-driven culture that empowered engineers to make independent technical decisions and own production deployments end-to-end
  • Architecture, development, and design of a highly available mission-critical cloud platform, that ingests, organizes, and processes 24/7 CCTV data across 100s of concurrent camera streams
  • Led the end-to-end migration from AWS/ECS to a multi-region Kubernetes mesh. Successfully operated 3 production clusters and dozens of microservices
  • Engineered a high-performance CI/CD system using self-hosted runners, scaling to 100+ parallel builds ? enabling new hires to ship to production on day one

Airflow ArgoCD AWS Azure Docker Github Grafana Istio Kafka Kubernetes Opsgenie Prometheus Python React Snyk Terraform
Microservices
Valerann
London (Remote)
2 years 7 months
2018-10 - 2021-04

Architected a cloud-native ML-powered recommendation engine

Solution Architect
Solution Architect

  • ML Recommendation Engine: Architected a cloud-native ML-powered recommendation engine for an online shop of a premium automotive brand. Integrated open source tools such as ML-Flow and AWS native services (SageMaker, S3, Glue) into a robust framework, automating the entire ML lifecycle from ingestion to inference
  • Led architecture for the MES software delivery platform migration ? aligning product owners, development partners, and factory IT around a unified migration concept that translated complex legacy system requirements into a structured, actionable architecture

MHP - A Porsche Company
Munich
1 year 6 months
2017-04 - 2018-09

Developed connected car services

Machine Learning Engineer GraphQL Java
Machine Learning Engineer

  • Developed connected car services for a premium German automotive manufacturer, focusing on swarm data analytics and smart mobility functions
  • "Architected and developed distributed, event-driven applications for large-scale vehicle data processing
  • Built and managed on-premise infrastructure including automated CI/CD pipelines and distributed data platforms, supporting high-throughput vehicle data workloads

Cassandra MongoDB Node.js Spark Vert.X
GraphQL Java
BFFT / EDAG
Ingolstadt
6 months
2016-10 - 2017-03

financial data analysis and customer segmentation modelling

Data Scientist
Data Scientist

  • Applied Python and R for financial data analysis and customer segmentation modelling within Transaction Services

PwC
Munich
3 years 5 months
2013-05 - 2016-09

Built scalable RESTful services and full-stack web components

Full-Stack Developer JEE
Full-Stack Developer

  • Built scalable RESTful services and full-stack web components for connected car infotainment products at a premium German automotive manufacturer
  • Established CI/CD pipelines and led Android mobile development, enabling continuous delivery within an Agile team

Jenkins JUnit Nexus ReactJS Selenium Spring
JEE
Valtech
Munich
2 years 1 month
2011-04 - 2013-04

Developed car telemetry systems and connected vehicle functions

Software Engineer
Software Engineer
  • Developed car telemetry systems and connected vehicle functions using Java, Android, and C/C++
OpenSynergy
Berlin
1 year 6 months
2009-10 - 2011-03

Travel & Relocation To Germany


1 year 4 months
2008-06 - 2009-09

Developed Intel® AMT and built internal tooling

Software Engineer
Software Engineer

  • Developed Intel® AMT and built internal tooling for performance and scalability testing

C/C++
Intel
Jerusalem

Aus- und Weiterbildung

Aus- und Weiterbildung

3 years 1 month
2006-09 - 2009-09

Computer Science And Business Management

B.Sc. In Computer Science And Business Management, The Hebrew University of Jerusalem
B.Sc. In Computer Science And Business Management
The Hebrew University of Jerusalem

Position

Position

  • Principal Engineer
  • AI-Driven Systems
  • Platform & Infrastructure

Kompetenzen

Kompetenzen

Top-Skills

AWS Künstliche Intelligenz DevOps Kubernetes Cloud Architect Python Microservices LLM Node.js GraphQL REST Terraform Teamleading

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • Architect & Engineering Leader with 15+ years of experience across the full technical stack, specializing in cloud-native platforms and AI-driven systems
  • I specialize in bridging the gap between deep technical execution and organizational impact, having led engineering squads to automate multi-region Kubernetes management and scale voice-AI systems for 2,500+ users
  • With a background ranging from leading large teams in high-pressure, mission-critical environments to Principal-level architecture at Slalom and EPAM, I focus on establishing the engineering standards and high-performance cultures necessary for companies to scale their technical products


Ai:

  • LLM Serving (vLLM, SGLang, LiteLLM, LoRA Adapters)
  • Distributed Training & Multi-GPU Infrastructure (Kubernetes, Karpenter, NVIDIA)
  • Agentic AI Workflows (LangGraph, LangChain, LangSmith, AWS Bedrock, Claude, Gemini)
  • RAG & Vector Search
  • Prompt Engineering & Optimisation
  • Fine-tuning & Model Adaptation (LoRA, HuggingFace)
  • MLOps
  • Multitenant LLM Serving
  • Inference Optimisation (Batching, KVCache, Quantisation, Tensor Parallelism, ONNX, TensorRT)
  • Voice AI (ElevenLabs, AWS Transcribe)
  • AI-Driven SDLC


Platform Engineering:

  • AWS
  • Kubernetes (EKS, Karpenter)
  • GPU Infrastructure (Karpenter, NVIDIA)
  • Multi-cloud & Cloud-agnostic Architecture
  • Terragrunt / Terraform
  • GitOps (ArgoCD)
  • CI/CD (GitHub Actions, Azure DevOps)
  • Security (Snyk, IAM, RBAC, Keycloak)
  • Microservices Architecture
  • Istio (Service Mesh)
  • Monitoring (Prometheus, Grafana, Loki, OTel)
  • Kafka
  • Linux & Bash Scripting


Fullstack Development:

  • Python (FastAPI, Flask)
  • Node.js (TypeScript)
  • Java (Spring Boot)
  • React.js
  • GraphQL
  • SQL & NoSQL (Postgres, MongoDB, Elasticsearch, Cassandra)


Data Science & Data Engineering:

  • Architectures (Mesh, Factory, Lake)
  • Python (Pandas, Spark)
  • Airflow (Data Orchestration)
  • AWS Data Stack (S3, Athena, Glue, SageMaker, LakeFormation)
  • Kubeflow
  • MLFlow
  • Databricks


Methodologies:

  • Domain-Driven Design
  • Event-Driven Architecture
  • Platform Engineering
  • Trunk-Based Development
  • DevSecOps
  • Architecture Review
  • Technical Due Diligence


Leadership:

  • Technical Strategy
  • Hiring & Talent Development
  • Stakeholder Management
  • Mentorship & Coaching
  • Engineering Team Building
  • Cross-functional Leadership
  • Roadmap Ownership

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

1 year 6 months
2024-12 - now

Led a team of engineers to architect a cloud-native voice AI system

Sr. Principal Engineer Bash
Sr. Principal Engineer

  • Held direct line management responsibility for a team of 4 Platform Engineers ? owning hiring, performance reviews, and career development ? while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements
  • Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents ? eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1
  • "Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors"
  • Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using opensource tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning

API Gateway ArgoCD AWS Bedrock Claude CloudFront DynamoDB EKS ElevenLabs Python S3 Terragrunt Transcribe
Bash
Slalom
Munich
1 year 1 month
2023-11 - 2024-11

Architecture and design of cloud native solutions on AWS

System Architect
System Architect

  • Architected an AWS-native data platform for a multinational biotech client, enabling multiple teams to run independent, decentralised workloads across genomic, scientific, and production-line datasets at scale
  • Prototyped a production-grade Databricks analytics platform for a multidisciplinary team of data engineers, ML engineers, and data scientists ? architected to scale to multiple teams, with automated CI/CD, shared conventions, and reusable infrastructure patterns

Athena Glue LakeFormation S3 SageMaker
Epam Systems
Munich
2 years 6 months
2021-05 - 2023-10

Early-stage B2B SaaS startup (~20 engineers) in the Intelligent Transportation Systems domain

Tech Lead ? Cloud, Devops & Platform Microservices
Tech Lead ? Cloud, Devops & Platform

  • Led a team of 4 engineers, establishing an ownership-driven culture that empowered engineers to make independent technical decisions and own production deployments end-to-end
  • Architecture, development, and design of a highly available mission-critical cloud platform, that ingests, organizes, and processes 24/7 CCTV data across 100s of concurrent camera streams
  • Led the end-to-end migration from AWS/ECS to a multi-region Kubernetes mesh. Successfully operated 3 production clusters and dozens of microservices
  • Engineered a high-performance CI/CD system using self-hosted runners, scaling to 100+ parallel builds ? enabling new hires to ship to production on day one

Airflow ArgoCD AWS Azure Docker Github Grafana Istio Kafka Kubernetes Opsgenie Prometheus Python React Snyk Terraform
Microservices
Valerann
London (Remote)
2 years 7 months
2018-10 - 2021-04

Architected a cloud-native ML-powered recommendation engine

Solution Architect
Solution Architect

  • ML Recommendation Engine: Architected a cloud-native ML-powered recommendation engine for an online shop of a premium automotive brand. Integrated open source tools such as ML-Flow and AWS native services (SageMaker, S3, Glue) into a robust framework, automating the entire ML lifecycle from ingestion to inference
  • Led architecture for the MES software delivery platform migration ? aligning product owners, development partners, and factory IT around a unified migration concept that translated complex legacy system requirements into a structured, actionable architecture

MHP - A Porsche Company
Munich
1 year 6 months
2017-04 - 2018-09

Developed connected car services

Machine Learning Engineer GraphQL Java
Machine Learning Engineer

  • Developed connected car services for a premium German automotive manufacturer, focusing on swarm data analytics and smart mobility functions
  • "Architected and developed distributed, event-driven applications for large-scale vehicle data processing
  • Built and managed on-premise infrastructure including automated CI/CD pipelines and distributed data platforms, supporting high-throughput vehicle data workloads

Cassandra MongoDB Node.js Spark Vert.X
GraphQL Java
BFFT / EDAG
Ingolstadt
6 months
2016-10 - 2017-03

financial data analysis and customer segmentation modelling

Data Scientist
Data Scientist

  • Applied Python and R for financial data analysis and customer segmentation modelling within Transaction Services

PwC
Munich
3 years 5 months
2013-05 - 2016-09

Built scalable RESTful services and full-stack web components

Full-Stack Developer JEE
Full-Stack Developer

  • Built scalable RESTful services and full-stack web components for connected car infotainment products at a premium German automotive manufacturer
  • Established CI/CD pipelines and led Android mobile development, enabling continuous delivery within an Agile team

Jenkins JUnit Nexus ReactJS Selenium Spring
JEE
Valtech
Munich
2 years 1 month
2011-04 - 2013-04

Developed car telemetry systems and connected vehicle functions

Software Engineer
Software Engineer
  • Developed car telemetry systems and connected vehicle functions using Java, Android, and C/C++
OpenSynergy
Berlin
1 year 6 months
2009-10 - 2011-03

Travel & Relocation To Germany


1 year 4 months
2008-06 - 2009-09

Developed Intel® AMT and built internal tooling

Software Engineer
Software Engineer

  • Developed Intel® AMT and built internal tooling for performance and scalability testing

C/C++
Intel
Jerusalem

Aus- und Weiterbildung

Aus- und Weiterbildung

3 years 1 month
2006-09 - 2009-09

Computer Science And Business Management

B.Sc. In Computer Science And Business Management, The Hebrew University of Jerusalem
B.Sc. In Computer Science And Business Management
The Hebrew University of Jerusalem

Position

Position

  • Principal Engineer
  • AI-Driven Systems
  • Platform & Infrastructure

Kompetenzen

Kompetenzen

Top-Skills

AWS Künstliche Intelligenz DevOps Kubernetes Cloud Architect Python Microservices LLM Node.js GraphQL REST Terraform Teamleading

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • Architect & Engineering Leader with 15+ years of experience across the full technical stack, specializing in cloud-native platforms and AI-driven systems
  • I specialize in bridging the gap between deep technical execution and organizational impact, having led engineering squads to automate multi-region Kubernetes management and scale voice-AI systems for 2,500+ users
  • With a background ranging from leading large teams in high-pressure, mission-critical environments to Principal-level architecture at Slalom and EPAM, I focus on establishing the engineering standards and high-performance cultures necessary for companies to scale their technical products


Ai:

  • LLM Serving (vLLM, SGLang, LiteLLM, LoRA Adapters)
  • Distributed Training & Multi-GPU Infrastructure (Kubernetes, Karpenter, NVIDIA)
  • Agentic AI Workflows (LangGraph, LangChain, LangSmith, AWS Bedrock, Claude, Gemini)
  • RAG & Vector Search
  • Prompt Engineering & Optimisation
  • Fine-tuning & Model Adaptation (LoRA, HuggingFace)
  • MLOps
  • Multitenant LLM Serving
  • Inference Optimisation (Batching, KVCache, Quantisation, Tensor Parallelism, ONNX, TensorRT)
  • Voice AI (ElevenLabs, AWS Transcribe)
  • AI-Driven SDLC


Platform Engineering:

  • AWS
  • Kubernetes (EKS, Karpenter)
  • GPU Infrastructure (Karpenter, NVIDIA)
  • Multi-cloud & Cloud-agnostic Architecture
  • Terragrunt / Terraform
  • GitOps (ArgoCD)
  • CI/CD (GitHub Actions, Azure DevOps)
  • Security (Snyk, IAM, RBAC, Keycloak)
  • Microservices Architecture
  • Istio (Service Mesh)
  • Monitoring (Prometheus, Grafana, Loki, OTel)
  • Kafka
  • Linux & Bash Scripting


Fullstack Development:

  • Python (FastAPI, Flask)
  • Node.js (TypeScript)
  • Java (Spring Boot)
  • React.js
  • GraphQL
  • SQL & NoSQL (Postgres, MongoDB, Elasticsearch, Cassandra)


Data Science & Data Engineering:

  • Architectures (Mesh, Factory, Lake)
  • Python (Pandas, Spark)
  • Airflow (Data Orchestration)
  • AWS Data Stack (S3, Athena, Glue, SageMaker, LakeFormation)
  • Kubeflow
  • MLFlow
  • Databricks


Methodologies:

  • Domain-Driven Design
  • Event-Driven Architecture
  • Platform Engineering
  • Trunk-Based Development
  • DevSecOps
  • Architecture Review
  • Technical Due Diligence


Leadership:

  • Technical Strategy
  • Hiring & Talent Development
  • Stakeholder Management
  • Mentorship & Coaching
  • Engineering Team Building
  • Cross-functional Leadership
  • Roadmap Ownership

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