Azure Application Insights Experts in Germany

• Further development and partial new development of a distributed cloud application for providing data in energy trading
• Independent implementation of the infrastructure (IaC)
• Creation of automated CI/CD pipelines, containers, REST APIs, and Lambdas
• Continuous cost and performance optimization
• Collaboration in an international Scrum team and with experts in energy trading
• Technologies: C#/ASP.NET Core; EF Core; PostgreSQL; Terraform/AWS CloudFormation; HTTP; REST/Web API; Swagger/OpenAPI; Azure DevOps; Rider; VS Code; git; Docker; AWS (S3, EC2, Fargate, Lambda, Step Functions, Secrets Manager, VPCs, ALB/NLB, RDS, Cloudwatch, AWS CLI, Amazon MQ); Redis; OAuth; OpenID Connect
• Languages: C#; TypeScript; HCL; Docker; Bash; PowerShell; YML; JSON

• Responsible for the 5-head development team and Scrum + DevOps approach
• Designed and implemented the cloud architecture for the application landscape
• Lead development for the user management on Azure Cloud using .NET 8/C#
• Development for the user management frontend using React (TypeScript)
• Technologies: Azure AD, Functions, Storage, CosmosDB, Service Bus, AKS, Monitor, Pipelines, Key Vault, MSSQL, Bicep, App Service, Log Analytics, Application Insights, Cost Management
• Backend: .NET/C#; Frontend: Angular (TypeScript)
• Unit testing: NUnit, xUnit, Moq
• CI & CD: Azure DevOps, GitHub Actions, GitLab CI
• DevOps & IaC: Bicep, Terraform, Docker, Kubernetes
• Security & Compliance: ISO 27001, DevSecOps
• Software development approach: Scrum, SAFe, Kanban

Building an observability and alerting solution for Business Central Job Queue monitoring

• Built a central monitoring solution to track the Business Central Job Queue in a multi-organization environment in Azure DevOps
• Integrated Azure Application Insights and Log Analytics for structured collection and analysis of job runtimes and error events
• Developed KQL queries for targeted analysis of failed jobs and detection of error patterns
• Connected Grafana and Power BI to visualize operational metrics and job status in real time
• Implemented an automated alerting workflow with Power Automate – when a job fails, a notification email is sent immediately
• Ensured transparency about the state of productive background processes during live operations

Result: Full transparency over failed Business Central jobs · Clear reduction in response time through automated email alerting · Stable foundation for proactive operation of productive background processes

Technologies: Azure DevOps | Application Insights | Log Analytics | KQL | Grafana | Power Automate | Power BI | Business Central | Azure Monitor

• Further development and maintenance of a complex sales platform focused on digital closing processes, customer portal interactions, and document generation for financial and insurance products
• Development and maintenance of microservices with Spring Boot 3 and Kotlin
• Frontend development with Angular 20 to display products, applications, and documents
• Conducting end-to-end tests with Playwright and integration tests with WireMock
• Creating and optimizing Quartz jobs and CronJobs
• Refactoring the security configuration in a multi-realm Keycloak setup with custom FilterChain, permission evaluator, and factory routing
• Creating dynamic emails with Thymeleaf
• Extensive error analysis with Application Insights, Log Analytics, and direct SQL debugging
• Introducing a dynamically controllable security architecture with flexible token processing based on path and realm
• Stabilizing and clearly structuring the closing process for complex product models
• Significantly increased maintainability and readability of code through modular refactorings
• Improved test stability and depth by combining Playwright, WireMock, and integration tests
• Targeted performance optimization through analysis of Hibernate statistics, query tuning, and use of SQL execution plans
• Technologies used: Java 21, Kotlin, Spring Boot 3, Angular, TypeScript, REST API, JSON, Kubernetes, Docker, PostgreSQL, Liquibase, Keycloak, OAuth2, GitHub Actions, Testcontainers, Azure Application Insights, Thymeleaf, Tilt, Microsoft SQL Server

Projects:

Project: RWE – Development of a company-wide Zero Trust cybersecurity architecture (CITADEL) Role: Senior Enterprise Cybersecurity Architect / Zero Trust Architect Company: RWE AG Description: Concept and implementation of the strategic CITADEL cybersecurity target architecture at RWE, based on the Zero Trust architecture principle and aligned with regulatory requirements such as NIS2, ISO 27001 and company-wide security governance policies. The goal was to build a measurable, auditable and scalable security architecture with a strong focus on Identity Governance, compliance transparency and operational manageability. Responsibilities & Achievements:

• Zero Trust architecture design: Developed a company-wide Zero Trust reference architecture (Identity, Device, Network, Application, Data) including trust zones, control points and enforcement mechanisms according to NIS2.
• Identity & Access Governance (IGA): Designed and introduced IGA governance structures including role models, recertification processes, segregation of duties (SoD) and lifecycle management for identities and access.
• Security governance & KPIs: Defined and implemented security KPIs and metrics to manage Zero Trust maturity, identity risks and compliance at the management level.
• Compliance & reporting: Built standardized compliance reports and dashboards to support internal audits, external assessments and regulatory evidence (e.g. NIS2).
• Architecture & stakeholder alignment: Worked closely with Enterprise Architecture, IT operations and business units to integrate the CITADEL architecture into existing IT and security landscapes.
• Strategic security consulting: Advised programs and projects on Zero Trust compliance, identity centricity and regulatory requirements in the energy and critical infrastructure (KRITIS) environment. Technologies & Methods: Zero Trust Architecture, NIS2, Identity Governance & Administration (IGA), IAM, RBAC, SoD, Entra ID, SailPoint, Zscaler, Terraform / IaC, Policy as Code, security KPIs, compliance reporting, NIST 2.0, ISO 27001, Enterprise Security Architecture, governance frameworks, risk & control management

Project: Scalable AI Workbench Platform on Microsoft Azure Role: Cloud Architect & Engineer Company: Siemens Energy Description: Design, development and operation of a secure, modular cloud infrastructure to support Data Science, Machine Learning and AI applications for various engineering teams at Siemens Energy. Responsibilities & Achievements:

• Cloud architecture: Designed and implemented an Infrastructure-as-Code solution (Terraform) for automated provisioning of Azure resources (Resource Groups, Storage Accounts, Cosmos DB, Application Insights, networking, PostgreSQL Flexible Server, Azure Container Apps, Azure Container Registry).
• Developer portal: Used Backstage with custom frontend and backend plugins (Node.js, TypeScript, React.js, PostgreSQL, Container Apps) to enable self-service and empower developers, data scientists and AI/ML engineers.
• Role-based access control: Implemented Azure RBAC to grant targeted access (e.g. Storage Blob Data Contributor, Reader) to engineering groups (e.g. AI Engineers) for relevant resources.
• Data platform engineering: Built and configured a multi-layered storage landscape (Raw, Curated, Vector data), including automated container creation and access control for advanced analytics and AI workloads.
• DevOps integration: Integrated with Azure DevOps for CI/CD pipelines to automate deployment, monitoring and compliance.
• Security & compliance: Implemented Private Endpoints, network policies and Managed Identities to ensure data protection and regulatory compliance.
• Collaboration: Worked closely with cross-functional teams to align the cloud infrastructure with business and technical requirements and drive digital transformation at Siemens Energy. Technologies: Azure, Terraform, Azure DevOps, Cosmos DB, Application Insights, Azure Storage, Private Endpoints, Azure Synapse, Azure Machine Learning, Azure Entra ID, RBAC, Backstage, Node.js, React.js, PostgreSQL, Python (automation), Git

• Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
• Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
• Implemented based on RESTful / OpenAPI services
• Delivered as a fat-jar and native container image
• Deployed on-premises and serverlessly as an Azure Container Application using Terraform
• Improved team autonomy through infrastructure engineering and short feedback loops
• Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
• Introduced Terraform and trunk-based development processes
• Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
• Created Azure DevOps pipeline integration tests
• Introduced cloud deployment processes
• Trained staff in cloud and Terraform

• Release Management
• Project Management
• Business Analysis
• Scrum
• SAFe

• Leading an eight-member team with a focus on actively promoting an agile mindset
• Supporting the introduction of Scrum within the team
• Planning, designing, and implementing the macro architecture of a distributed system landscape
• Documenting self-contained systems, microservices, and legacy applications
• Integrating third-party software components
• Special attention to scalability and reliability
• Ensuring traceable processes through event sourcing
• Developing multiple ASP.NET and Blazor applications in C# using .NET 5 to 8
• Applying strategic methods from Domain-Driven Design (DDD)
• Decoupling modules using the Mediator pattern (MediatR) and CQRS
• Continuously ensuring code quality through Test-Driven Development (TDD)
• Conducting code reviews via pull requests and pair programming
• Optimizing data storage and access with MS SQL Server, Redis, and EF Core
• Reducing costs and wait times through caching and automatic scaling
• Implementing background jobs using Hangfire
• Developing and integrating REST APIs
• Integrating RabbitMQ and NServiceBus for communication between systems
• Securing various REST APIs and web UIs with OAuth2/SAML/SSO and JWTs
• Developing cross-team technology standards
• Introducing architecture methods in agile teams
• Applying software craftsmanship and Extreme Programming (XP) principles
• Ensuring software quality according to ISO 25010 standards
• Implementing DevSecOps practices
• Migrating various legacy on-premises applications (Azure Stack & IIS) to Azure Cloud
• Modernizing existing application (from .NET Framework 3 & 4)
• Leading containerization with Docker and subsequent migration to Kubernetes
• Introducing and optimizing CI/CD pipelines
• Monitoring production systems using Serilog, Prometheus, Grafana, and Application Insights
• On-call duty and implementing automated error detection
• Analyzing and fixing issues in production as 3rd level support
• Coaching and upskilling working students, interns, and other developers
• Designing and delivering internal training sessions
• Conducting event storming and user story mapping sessions
• Supporting the product owner with technical matters
• Optimizing workflows in Azure DevOps Services
• Requirements engineering in cooperation with relevant business units and domain experts

• Redesign of the 'Hessian Platform for Migration and Refugees'
• Technologies: C#, .NET 8.0, ASP.NET WebAPI, Blazor
• Architecture principles: Domain Driven Design, Mediator Pattern, Outbox Pattern, IOSP, Clean Code
• Methodologies: SCRUM, Coaching, Team Lead

• Own Azure-hosted ASP.NET Core microservices for chronic-care workflows, sustaining 99.8% uptime across 3,000+ patient interactions.

• Shape HL7 FHIR-based patient, encounter, and observation profiles delivering a unified source of truth for clinical teams and integrations.

• Implement SignalR telemetry, Application Insights alerting, and automated pipelines that surface deteriorating vitals in under three seconds.

• Automated consultant outreach by orchestrating Twilio voice campaigns via n8n workflows and VAPI AI assistants, boosting successful client contacts by 55%.

• Entlass Manager: Led the end-to-end build of the chronic-care coordination platform, standing up Azure-native microservices, clinical data flows, and patient-facing tooling from initial requirements through production release.

• Power Dialer: Built the Twilio-driven consultancy auto-dialer and n8n workflows, raising client reachability to 85%.

• Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable pricing
• Implemented modern microservices and Web APIs based on .NET 7 in an Azure environment using Azure App Service, Azure Storage, and Azure Service Bus
• Built and managed infrastructure in Azure using Terraform, including resource deployment and automation of deployment processes
• Developed and maintained Azure DevOps pipelines to optimize build, test, and release workflows
• Optimized data management with SQL Server and ensured seamless integration across all services
• Developed the front end with Angular 16, TypeScript, CSS, HTML, and Kendo UI to deliver an intuitive and engaging user interface

• Fullstack development based on Next.js and TypeScript
• Development and optimization of geospatial database queries for PostgreSQL/PostGIS
• Visualization of geospatial data using Mapbox
• Design and execution of load tests and performance optimizations
• Code reviews and documentation tasks
• Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS

• Agile software development in an interdisciplinary environment

• Cross-team collaboration to achieve important milestones

• Independently developing new and improving existing features

• Estimation, refinement, implementation, and presentation

• Finding solution ideas, analyzing problems, rolling out bug fixes

• Writing automated tests, manual testing, log and error analysis

• Ensuring high availability, fault tolerance, and scalability of the production environment

• Rolling out releases and multi-stage infrastructure

• Setting up alerts and monitoring

• Pair programming, code reviews, documentation

• On-call duty, 3rd level support

• Event-Driven Architecture, Clean Code, Hexagonal Architecture

• Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)

• Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2

• Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress

• AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger

• Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…

• Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock

• IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42

• GitHub CI/CD, GitLab CI/CD, Azure DevOps

• EV charging protocols (EVSE, OCPP, V1G, V2G)