Thomas Hoefkens-Senior MLOps, DevOps Engineer
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Experience
Senior MLOps, DevOps Engineer
Trianel Energy
- Built and operated an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, and Autoformer).
- Implemented CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform) and data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) to training and evaluation, model registry, and endpoint deployment.
- Integrated MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Developed and containerized PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), centralized logging, and cost monitoring.
- Automated infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connected to existing market data systems and event pipelines.
- Migrated existing workloads and databases (IONOS → Azure, MongoDB) and integrated them into central MLOps workflows and internal networks.
- Extended the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyzed and designed a software solution to efficiently process large volumes of data (>3000 messages/sec) (market data store).
- Developed Spring Boot / Java 21 container services with RabbitMQ to distribute exchange data through MongoDB (Kubernetes), with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integrated RESTHeart to create a REST API for MongoDB.
- Built an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Developed Python scripts to transform and clean incoming exchange data (Pandas, scikit-learn).
Senior DevOps Engineer and Platform Architect
Mynaric Laser Communications AG
- Architecture and design of a DevOps / deployment platform.
- Built a DevOps and software deployment platform based on Azure AKS and AWS ECS/EKS, GitLab Enterprise, and Ansible.
- Migrated VMware workloads to Azure AKS and AWS EKS.
- Configured and deployed applications with Microsoft Entra (Entra app registrations, app roles, published Web APIs with OAuth authentication and authorization).
- Developed TypeScript backend services (serverless).
- Developed GraphQL APIs against a Neo4J database.
- Created Ansible playbooks and inventory setup for VMware-managed virtual machines.
- Automated deployment of playbooks through Ansible Control Tower (open source version AWX) for Unix instances.
- Set up GitOps with GitLab and developed GitLab pipelines.
- Deployed infrastructure on Azure using Pulumi and Terraform.
- Agile teamwork, SCRUM.
Senior MLOps, DevOps Engineer and Platform Architect
Dyrisk GmbH / MunichRE
- Built and operated a company-wide MLOps infrastructure on Azure Databricks to automate the full ML lifecycle from data processing to model deployment.
- Implemented scalable ETL/ELT pipelines with Airflow and Databricks to continuously supply training and inference pipelines with cleaned risk data.
- Automated training, evaluation, and deployment pipelines with MLflow, Azure DevOps, and Databricks Workflows, including automatic model registration, versioning, and promotion between stages.
- Containerized and deployed trained models as scalable REST/gRPC services via Azure ML Endpoints and Kubernetes; integrated them into production risk and security platforms.
- Set up Infrastructure-as-Code provisioning with Terraform, Helm, and Kustomize for reproducible deployments, including monitoring, logging, and security components.
- Implemented end-to-end monitoring with Prometheus, Grafana, and Elastic Stack (Beats, Logstash) to track pipeline performance, model metrics, and system status.
- Built a secure authentication and access infrastructure (Keycloak, OAuth 2.0, OIDC, JWT) for APIs and internal MLOps services.
- Developed and integrated .NET Core microservices for exposing model APIs and service orchestration in production.
- Designed and implemented CI/CD pipelines (Azure DevOps, GitLab CI) for automated testing, container builds, release management, and deployment to multi-cloud environments.
- Monitoring, logging, and incident handling for production machine learning workloads in on-premises and cloud environments.
- Central SSH and access management through Teleport to ensure compliance and auditability.
- Agile teamwork in the SCRUM process with close coordination between Data Engineering, MLOps, and DevOps.
Senior AWS Cloud Expert, Digital Transformation Architect
EnBW Energie Baden-Württemberg
- Setup and configuration of Red Hat OpenShift, deployment monitoring, alerting, DB operator, and Nginx Ingress Controller.
- Developed Java (Spring Boot / Spring Cloud) AWS Lambda microservices, OpenAPI API-first development.
- Docker containerization of microservices, Docker Compose definitions for local development and testing.
- Created automated unit tests using AWS LocalStack.
- Developed an Angular 12 / TypeScript frontend to display automated energy trading and manual intervention/corrections.
- Developed streaming connectors for AWS MSK (managed Kafka), automating the processing of marketplace trading streaming messages.
- Set up an AWS base resource pipeline and per-microservice pipeline to automate infrastructure creation with AWS CDK, EKS cluster setup with external DNS, and AWS Load Balancer Controller for automatic load balancing and Route53 setup.
- Set up EC2 instances via Terraform, access via AWS SSM.
- Integrated with AWS IAM and Cognito (Single Sign-On), experience with AWS Control Tower and VPC networking via Transit Gateway attachments.
- Developed Helm charts for automated OpenShift deployment.
- OpenAPI-first approach for backend services and Swagger UI integration on backend endpoints.
- Agile teamwork, SCRUM ceremonies, bi-weekly sprints.
Senior Cloud Architect and FullStack Engineer
Bayer AG, Digital Farming
- Developed a field and crop management solution for large agricultural companies, consisting of .NET Core (C#) microservices based on AWS Lambda, supported by domain-driven design and event sourcing, plus two frontend solutions (Angular for the web, Xamarin (now MAUI) as a cross-platform mobile management solution).
- Frontend TypeScript development (Angular), frontend .NET Standard development (Xamarin) as part of a fully cross-functional team, responsible for delivering all technical components of a requirement (for example, frontend changes, backend development including Terraform setup and CI/CD, automated unit tests, and Sonar quality checks).
- Fully decoupled architecture using SQS, DynamoDB, API Gateway, Route53, AWS Lambda, .NET IDP with Azure AD federation, and JWT authentication / authorization.
- Developed GraphQL APIs (stitching) across multiple backend farming data sources (weather forecasts, spraying recommendations, pest infestation data).
- Developed a .NET Core CLI for technical administration of the digital farming platform.
- Cross-platform iOS / Android development (Xamarin), push integration, mapping using Carto maps, including development of a customization plugin for VS Code that connects JavaScript with C# through the V8 engine.
- Developed GitLab CI pipelines.
- Integrated Raygun for centralized logging.
- Agile teamwork, SCRUM ceremonies, bi-weekly sprints.
Senior Cloud Developer
Otis France
- Development of applications for field service (Kony platform iOS and Android) and backend endpoints (Java Spring Boot, Spring Cloud).
- Integration of internal APIs (Asset Management, Field Service Management).
- Development of Azure Functions, Function Apps (C#).
- Development of ASP.NET MVC admin interfaces.
- Azure DevOps (Team Foundation Server) pipeline development.
- Oracle 12 PL/SQL development, database design and maintenance.
Technical Project Lead
Mobility Media-Saturn E-Business GmbH
- Technical lead for the evaluation, selection, and implementation of a mobility platform (MDM and MAM), setup of a company internal app store, and BYOD policies.
- Kony platform development of various apps based on the Kony platform / cross-platform development in JavaScript for Android, iOS, and Windows Tablet.
- MC@POS → Kony app for use in the stores, product comparison, stock levels, prices, online orders in store.
Technical Team Lead, Senior Developer, Enterprise Architekt for the CRM Domain
Telefonica 02 Germany GmbH & Co KG
- Team lead for the CRM and order management application team, CRM domain enterprise architect, developer, and interface to business and operations stakeholders as well as senior management.
- Development of service requests, integration of over 40 systems across the provisioning and billing landscape.
- Middleware connections via Tuxedo, MQSeries, WebLogic, and WebSphere.
- UI development, backend development (Oracle-based and Java server-based), integration with middleware systems such as RabbitMQ and Tibco as well as Tuxedo (REST-, SOAP-based systems and database connectors).
- Lead of a complex fat-client upgrade that enabled VBA customizations, but hit 32-bit limitations; migration to the Microsoft VSTA engine (unique project worldwide!).
Technical Team Leader, Senior Developer
Deutsche Bahn AG
- Development of an HR platform and an e-recruiting mirror on the "internet" side based on PeopleSoft HCMS.
- Development of a ticketing system based on JBoss (backend), Apache MyFaces UI.
- Development of the Deutsche Bahn enterprise portal (employee-oriented).
- Broker messaging development, asynchronous messaging.
- Development of application runs in batch mode.
Application Developer
Telefonica 02 Germany GmbH & Co KG
- WebLogic 5.1 Java development, EJB development.
- Development of a JSP-based frontend.
- PoC setup of Oracle 8i jServer.
- Migration of web applications to WebLogic 6.0.
- Win32 API development.
- Vantive 8.2 frontend development support.
Industry Experience
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Experienced in Transportation, Agriculture, Energy, Telecommunication, Manufacturing, and Information Technology.
Business Area Experience
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Experienced in Information Technology, Human Resources, Product Development, Project Management, Operations, and Customer Service.
Summary
Passionate Senior MLOps, DevOps, and Cloud/Platform Engineer with extensive experience in developing and operating scalable platforms and AI-driven solutions. Expertise in building end-to-end MLOps workflows: data preparation (ETL/ELT pipelines), development of ETL/ELT pipelines in Python (Pandas, PySpark, Airflow, Dask), experiment tracking and model versioning with MLflow, use of Azure Databricks Data Lake for data engineering and training, feature stores (Feast), and automated deployment of trained models as services.
Experienced in implementing continuous training and delivery pipelines (CI/CD) for ML and software components using GitLab CI/CD, Azure DevOps, and KubeFlow.
Strong knowledge of virtualization and container orchestration (Kubernetes: OpenShift, EKS, AKS, OVH Kubernetes, Docker) and Infrastructure as Code with Terraform and Ansible. Strong in observability, classic and model monitoring with Prometheus and Grafana as well as classic logging stacks (Loki, ELK, DataDog). Experienced in backend development with C#, Java, TypeScript, Python, and Bash scripting, as well as SQL and NoSQL databases.
Skills
- Programming & Frameworks: C# .Net Core, Java (Spring Boot, Spring Cloud, J2ee), Golang, Python (Pandas, Numpy, Scikit-Learn, Tensorflow, Pytorch), Bash Scripting
- Frontend & Cross-Platform: Typescript, Angular, React, Macos, Xamarin, Maui
- Cloud & Container Platforms: Aws Cloud, Azure Cloud, Ovh Cloud, Gcp, Docker, Kubernetes, Aks, Eks, Red Hat Openshift, Vmware Tanzu, Cluster Controller, Cluster Operator
- Infrastructure As Code & Ci/Cd: Terraform, Ansible, Pulumi, Kustomize, Helm Charts, Github Actions, Gitlab Ci, Azure Devops, Argocd, Flux, Jenkins Pipelines
- Messaging, Data & Databases: Rabbitmq, Redis, Mongodb, Neo4j, Sql, Oracle, Aws Msk (Managed Kafka)
- Observability & Logging: Prometheus, Grafana, Elasticsearch, Kibana, Beats, Loki, Datadog
- Mlops & Data Engineering: Mlflow, Azure Databricks, Apache Spark, Feast, Dvc
- Machine Learning & Ai: Xgboost, Scikit-Learn, Hugging Face Transformers
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