Distributed Tracing Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Distributed Tracing
Jorge Nuricumbo
Last position:
Senior Developer at SafeXSmart KI Solutions UG
AI Platform Backend – Senior Developer
Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.
Tasks and responsibilities
- Architected and implemented a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
- Designed and developed a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
- Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
- Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
- Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing the production error rate.
Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Hüseyin Korkut
Last position:
Senior Full-Stack Engineer at DVAG
Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.
Implementation of a reactive UI structure with a focus on user guidance & accessibility.
Dynamic control of form and closing processes including validation logic.
Reactive state management via SignalStore (signals + selective effects).
UX optimization through adaptive components and Playwright-based UI tests.
Backend modularization to connect existing sales and contract logic.
API stability and DTO design according to Clean Architecture principles.
Collaboration with domain teams to define technical contracts and service boundaries.
Management with GitHub.
Unit tests with Jest, E2E tests with Playwright.
Code reviews, CI-integrated test execution, iterative refactorings.
Ensuring high coverage and UI stability in the closing flow.
Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.
Ivan Greguric-Ortolan
Last position:
Technical Lead at Porsche Digital GmbH
- Contributed to the design of the new financial services integration layer and moderated the architectural discussions
- Oversaw the security concept and approval of the application
- Prepared infrastructure setup and best practices for the Kotlin backend
Ales Loncar
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Kalpesh Patil
Last position:
Intern Java Developer at Unzer GmbH
- Developed a Proof of Concept for distributed tracing using OpenTelemetry within a microservices architecture, enhancing system observability and reducing mean-time-to-resolution for issues.
- Built and maintained backend services using Java and Spring Boot, ensuring high reliability and performance for payment transaction workflows.
- Implemented comprehensive automated testing with JUnit and Mockito, achieving 95% test coverage to ensure code quality and maintainability.
- Gained insight into payment transaction workflows, validating end-to-end system reliability and gaining domain knowledge in financial processes.
- Tech used: Java, Spring Boot, Microservices, REST API, Kafka, Grafana, Datadog, Docker, MongoDB
Patrick Döring
Last position:
C-Level Advisor | Engineering & QA Lead at Freelancer
- Supports companies as a C-level advisor, technical sparring partner, and engineering leader in scaling, structure, and technical excellence
- Over 15 years of experience, including more than 6 years in leadership with teams of 18+ engineers and budget responsibility over €2 million
- Direct collaboration with C-level, product, and compliance
Leadership & Organizational Development:
- Leading international cross-functional teams (18+ engineers) in agile environments
- Experience with Scrum, Kanban, OKRs through hands-on implementation
- Close collaboration with C-level stakeholders
- Strategic input on engineering roadmaps and organizational structures
Engineering Strategy & Developer Enablement:
- Building and rolling out developer productivity tools like GitHub Copilot and Synergizer
- Scaling, redesigning, and strategically advancing the observability architecture (Datadog, Grafana Cloud), including distributed tracing, metric design, SLOs, logging, and cost optimization
- Establishing developer enablement structures: coding guides, QA practices
- Consolidating CI/CD and DevOps toolchains for improved efficiency
People & Culture:
- Mentoring and coaching talents and leaders
- Active role in recruiting and team development
- Performance management and retention (< 5% turnover in scaled teams)
- Designing career paths and competency models in engineering
Discover over 15,000 top freelancers
Statistics of experts using Distributed Tracing
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.6 years
Positions per freelancer
8
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Automotive
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
40%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Distributed Tracing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Distributed tracing shows how a request moves through services, queues, databases, and external APIs. It turns a slow or failing flow into a trace you can read end to end. Teams use it to find bottlenecks, see dependency chains, and understand where work is spent.
Common tools
- OpenTelemetry instrumentation and context propagation
- Jaeger or Zipkin trace search and analysis
- Trace correlation with logs and metrics
- Sampling and retention settings
- Service map and span design
When to bring in help
Companies bring in freelance specialists when distributed systems get harder to observe and local fixes stop working. That often happens after a cloud migration, a microservices split, or a move to event-driven processing. In Germany, this work is common in regulated sectors, industrial software, retail, and B2B SaaS.
What strong specialists do
Good professionals trace requests across services without flooding the system with noise. They know how to name spans, pass context correctly, and avoid blind spots in async flows. They also work cleanly with developers, platform teams, and operations staff so the tracing data stays usable.
Typical delivery
- Instrument critical user journeys and backend workflows
- Connect traces with logs, metrics, and alerts
- Diagnose latency, errors, and dependency issues
- Review sampling, storage, and dashboard setup
- Clean up trace quality after a rollout or incident
Skills around it
Distributed tracing is rarely isolated. Specialists often work with OpenTelemetry, Jaeger, Zipkin, Prometheus, Grafana, Kubernetes, and cloud services such as AWS, Azure, or Google Cloud. They also need a clear grasp of service design, async messaging, and production troubleshooting so the traces answer real questions.
Frequently asked questions
Before you brief your next project: the most common questions about Distributed Tracing.
Distributed Tracing is used to follow one request as it crosses multiple services, queues, and data stores. It helps teams see where latency starts, where errors appear, and which dependency slows the flow down. That makes it useful for microservices, APIs, and event-driven systems.
Distributed Tracing does not replace logs or metrics; it connects them. Metrics show trends, logs show detailed events, and traces show the path of a single transaction. Strong specialists usually combine all three so teams can move from a symptom to a root cause faster.
Distributed Tracing is commonly implemented with OpenTelemetry, then viewed in tools such as Jaeger or Zipkin. Many teams also link traces to Prometheus and Grafana for broader observability. The right setup depends on the stack, the scale of traffic, and the way services exchange context.
A strong Distributed Tracing specialist usually understands OpenTelemetry, service instrumentation, Kubernetes, cloud platforms, and incident analysis. Knowledge of logs, metrics, sampling, and async messaging is also important. Without those skills, traces can be incomplete or too noisy to trust.
For Distributed Tracing, it helps to define the main pain points first: slow endpoints, broken user journeys, unclear service ownership, or poor incident visibility. A good freelancer can refine the setup once they see the architecture and the current telemetry. Clear access to services, dashboards, and sample traces makes the work move faster.
Yes, Distributed Tracing work is often done remotely because most of it involves code, dashboards, and incident review. In Germany, some teams still prefer on-site sessions for architecture workshops or production walk-throughs. A mixed setup is common when the system is complex or the team is spread across locations.
With Distributed Tracing, quality means the traces answer real questions and cover the paths that matter. Look for clean span naming, correct context propagation, useful sampling, and clear links to logs and metrics. If traces help the team debug incidents without guesswork, the setup is doing its job.
Distributed Tracing is now usually implemented through OpenTelemetry, while OpenTracing is the older name many people still search for. If a freelancer knows both, that is useful because older systems may still carry legacy instrumentation. The important point is whether they can modernize the setup without losing trace continuity.
The average hourly rate of freelancers in Germany who have used Distributed Tracing in their recent projects is 96 €, which corresponds to a daily rate of about 765 € based on an 8-hour working day.
Of the freelancers in Germany who have used Distributed Tracing in their recent projects, 100% hold at least a Bachelor's degree and 40% hold at least a Master's degree.
On average, freelancers in Germany who have used Distributed Tracing in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Distributed Tracing in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Germany who have used Distributed Tracing in their recent projects are Information Technology (100%), Transportation (57%), and Automotive (43%).
The most common business areas among freelancers in Germany who have used Distributed Tracing in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (57%).
Main locations of FRATCH Experts, who have recently used Distributed Tracing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
