Specializing in Azure & AWS cloud computing, CI/CD-driven software engineering and DevOps automation, with proven agile project ownership and delivery
Aktualisiert am 18.06.2025
Profil
Mitarbeiter eines Dienstleisters
Remote-Arbeit
Verfügbar ab: 18.06.2025
Verfügbar zu: 80%
davon vor Ort: 10%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2 years 3 months
2023-10 - 2025-12

HybridDigital

Cloud & Machine Learning Engineer Docker Kubernetes Helm ...
Cloud & Machine Learning Engineer
Setup and operation of ML and cloud environment to analyze test
data of hybrid materials (CFRP and steel), including Kubernetes
Cluster (Openshift, Docker) for hosting an image preprocessing
service, REST-API for uploading, Gitlab & ArgoCD pipelines and
Terraform scripts, Databricks pipelines for process analytics
dashboards, Unit Testing with pytest
Docker Kubernetes Helm Azure Devops Azure
1 year 7 months
2024-03 - 2025-09

Allianz/Digital Loop

DevOps Engineer, project management LLM Python Azure ...
DevOps Engineer, project management
PoC Integration of Large Language Models LLM (Gemini, OpenAI, Mistral) for an online marketing SEO project and project management. 
Azure Machine Learning Power Automate Databricks OpenAI LLM Large Language Model Azure Azure Devops
LLM Python Azure Azure DevOps
Digital Loop GmbH
remote
4 months
2024-01 - 2024-04

Datenraum.Holz initiative

Data Space & Gaia-X Compliance Consultant
Data Space & Gaia-X Compliance Consultant
Provided architectural consulting for the Datenraum.Holz initiative in
alignment with Gaia-X and Manufacturing-X frameworks. Conducted
component analysis and developed connectors to enable secure
and standardized data exchange across stakeholders. Implemented
identity and access management (IAM) solutions to support
federated identity models within decentralized ecosystems.
Collaborated with acatech and validated the approach in a test
consortium comprising small and medium-sized enterprises (SMEs)
from the woodwork industry.
remote
10 months
2023-03 - 2023-12

ML for ebike riding optimization

ML engineer, DevOps engineer Python Machine Learning
ML engineer, DevOps engineer
Implementation and deployment of a Machine Learning model to
predict and support bicycle e-drivetrain for more natural riding
behaviour. Implementation of CI/CD Pipeline (Gitlab) for continuous
development.
Python Machine Learning
Porsche E-Bike Performance GmbH
remote
9 months
2022-05 - 2023-01

PoC phase of automotive app store deployment

Cloud & DevOps engineer Docker Kubernetes Azure ...
Cloud & DevOps engineer
Led the development of a resilient landing zone around an AKS
cluster (Docker, Kubernetes, Azure Container Apps) for an
automotive app store during PoC phase. Implemented ArgoCD
DevOps CI/CD-Pipeline and IaC (Terraform) for streamlined
operations and microservices orchestration, enhancing agility and
efficiency. Integrated Azure Application Gateway and Web
Application Firewalls (WAF) to ensure secure and scalable traffic
management
Docker Kubernetes Azure Azure Devops ArgoCD Terraform
Docker Kubernetes Azure Azure Devops Terraform Cloud PostgreSQL
Diconium GmbH
remote

Position

Position

Senior Cloud & DevOps Engineer at [Firma auf Anfrage]

? Design, implement and operate scalable, secure Azure & AWS environments for enterprise clients.
? Build and maintain end-to-end pipelines (GitOps, Terraform, GitLab CI, Azure DevOps) to accelerate and harden software delivery.
? Lead cross-functional teams in Scrum/Kanban settings?from requirements to production rollout?ensuring on-time, on-budget delivery.
? Predominantly serving automotive, finance/insurance, high-tech and e-commerce clients.

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

DevOps
Experte
MS Azure
Experte
Amazon AWS
Fortgeschritten
Databricks
Fortgeschritten
Gitlab
Experte
Terraform
Experte
Kubernetes
Fortgeschritten
FastAPI
Fortgeschritten
REST
Fortgeschritten
Power Plattform
Fortgeschritten
LLM
Fortgeschritten
OpenAI API
Fortgeschritten

Programmiersprachen

Python
Experte
C++
Fortgeschritten
Matlab
Basics
.NET
Basics

Branchen

Branchen

My technical focus lies in architecting and delivering cloud-native solutions on Azure and AWS, underpinned by infrastructure-as-code (Terraform), containerization (Docker, Kubernetes) and GitOps-driven CI/CD pipelines. I fuse strong software engineering skills in C++, Java and Python with deep DevOps expertise?automating provisioning, deployment and monitoring ? to build scalable, secure and resilient microservices platforms.

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

2 years 3 months
2023-10 - 2025-12

HybridDigital

Cloud & Machine Learning Engineer Docker Kubernetes Helm ...
Cloud & Machine Learning Engineer
Setup and operation of ML and cloud environment to analyze test
data of hybrid materials (CFRP and steel), including Kubernetes
Cluster (Openshift, Docker) for hosting an image preprocessing
service, REST-API for uploading, Gitlab & ArgoCD pipelines and
Terraform scripts, Databricks pipelines for process analytics
dashboards, Unit Testing with pytest
Docker Kubernetes Helm Azure Devops Azure
1 year 7 months
2024-03 - 2025-09

Allianz/Digital Loop

DevOps Engineer, project management LLM Python Azure ...
DevOps Engineer, project management
PoC Integration of Large Language Models LLM (Gemini, OpenAI, Mistral) for an online marketing SEO project and project management. 
Azure Machine Learning Power Automate Databricks OpenAI LLM Large Language Model Azure Azure Devops
LLM Python Azure Azure DevOps
Digital Loop GmbH
remote
4 months
2024-01 - 2024-04

Datenraum.Holz initiative

Data Space & Gaia-X Compliance Consultant
Data Space & Gaia-X Compliance Consultant
Provided architectural consulting for the Datenraum.Holz initiative in
alignment with Gaia-X and Manufacturing-X frameworks. Conducted
component analysis and developed connectors to enable secure
and standardized data exchange across stakeholders. Implemented
identity and access management (IAM) solutions to support
federated identity models within decentralized ecosystems.
Collaborated with acatech and validated the approach in a test
consortium comprising small and medium-sized enterprises (SMEs)
from the woodwork industry.
remote
10 months
2023-03 - 2023-12

ML for ebike riding optimization

ML engineer, DevOps engineer Python Machine Learning
ML engineer, DevOps engineer
Implementation and deployment of a Machine Learning model to
predict and support bicycle e-drivetrain for more natural riding
behaviour. Implementation of CI/CD Pipeline (Gitlab) for continuous
development.
Python Machine Learning
Porsche E-Bike Performance GmbH
remote
9 months
2022-05 - 2023-01

PoC phase of automotive app store deployment

Cloud & DevOps engineer Docker Kubernetes Azure ...
Cloud & DevOps engineer
Led the development of a resilient landing zone around an AKS
cluster (Docker, Kubernetes, Azure Container Apps) for an
automotive app store during PoC phase. Implemented ArgoCD
DevOps CI/CD-Pipeline and IaC (Terraform) for streamlined
operations and microservices orchestration, enhancing agility and
efficiency. Integrated Azure Application Gateway and Web
Application Firewalls (WAF) to ensure secure and scalable traffic
management
Docker Kubernetes Azure Azure Devops ArgoCD Terraform
Docker Kubernetes Azure Azure Devops Terraform Cloud PostgreSQL
Diconium GmbH
remote

Position

Position

Senior Cloud & DevOps Engineer at [Firma auf Anfrage]

? Design, implement and operate scalable, secure Azure & AWS environments for enterprise clients.
? Build and maintain end-to-end pipelines (GitOps, Terraform, GitLab CI, Azure DevOps) to accelerate and harden software delivery.
? Lead cross-functional teams in Scrum/Kanban settings?from requirements to production rollout?ensuring on-time, on-budget delivery.
? Predominantly serving automotive, finance/insurance, high-tech and e-commerce clients.

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

DevOps
Experte
MS Azure
Experte
Amazon AWS
Fortgeschritten
Databricks
Fortgeschritten
Gitlab
Experte
Terraform
Experte
Kubernetes
Fortgeschritten
FastAPI
Fortgeschritten
REST
Fortgeschritten
Power Plattform
Fortgeschritten
LLM
Fortgeschritten
OpenAI API
Fortgeschritten

Programmiersprachen

Python
Experte
C++
Fortgeschritten
Matlab
Basics
.NET
Basics

Branchen

Branchen

My technical focus lies in architecting and delivering cloud-native solutions on Azure and AWS, underpinned by infrastructure-as-code (Terraform), containerization (Docker, Kubernetes) and GitOps-driven CI/CD pipelines. I fuse strong software engineering skills in C++, Java and Python with deep DevOps expertise?automating provisioning, deployment and monitoring ? to build scalable, secure and resilient microservices platforms.

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Im Bereich Freelancing
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