Distributed Tracing Experts in Germany
with fast AI matching from over 15,000 CVsHire experts who instrument microservices, connect OpenTelemetry with Jaeger or Grafana Tempo, and turn trace data into clear performance findings. FRATCH matches you precisely with vetted, available freelancers for remote or on-site work.
Meet FRATCH Experts in Germany, who have recently used Distributed Tracing
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Ales L.
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.
Jorge N.
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
- Architecture and implementation of 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.
- Design and development of 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 production error rates.
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 K.
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
Rohit T.
Last position:
Senior Software Engineer at KRiAN GmbH
Clients: CARIAD, AUDI AG
- Built and deployed enterprise MLOps pipelines using Azure Machine Learning and Databricks. Reduced model release cycles by 95 percent, from four weeks to two days, through automated CI CD workflows.
- Delivered cloud native DevOps platforms for ADAS programs using Azure data services, Kubernetes, and Terraform based infrastructure provisioning.
- Designed high availability architectures with automated failover. Cut system downtime by 85 percent for mission critical energy trading platforms.
- Developed and integrated AI agents and enterprise chatbots using LangChain, AutoGPT, and GPT models. Enabled autonomous workflows and decision driven automation.
- Reduced cloud infrastructure spend by 40 percent through autoscaling strategies, spot instance usage, and policy driven resource governance across Azure and AWS.
- Partnered with Data Scientists, ML Engineers, Product Managers, and executive stakeholders to deliver large scale automotive and energy solutions.
- Implemented GitOps driven CI CD pipelines supporting automotive software delivery for over 500 engineers across distributed product teams.
- Designed and operated Kubernetes platforms on Azure AKS. Improved deployment stability and reduced rollback events by 70 percent.
- Implemented observability and monitoring stacks using Prometheus, Grafana, and Azure Monitor. Achieved 99.9 percent service availability targets.
Hüseyin K.
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.
Patrick D.
Last position:
C-Level Advisor | Engineering & QA Lead at Freelancer
- Supporting companies as a C-Level Advisor, technical sparring partner, and Engineering Leader with scaling, structure, and technical excellence
- Over 15 years of experience, including more than 6 years in leadership roles with teams of 18+ engineers and budget responsibility of more than €2M
- 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 delivery
- Close collaboration with stakeholders at C-Level
- 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 improving the observability architecture (Datadog, Grafana Cloud), including distributed tracing, metric design, SLOs, logging, and cost optimization
- Building developer enablement structures: coding guides, QA practices
- Consolidating CI/CD and DevOps toolchains to improve efficiency
People & Culture:
- Mentoring & coaching of talent and leaders
- Active role in recruiting and team development
- Performance management & retention (< 5% turnover in scaled teams)
- Designing career paths & competency models in engineering
Ivan G.
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
Kalpesh P.
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
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
1.8 years
Positions per freelancer
8
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Transportation
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
43%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Distributed Tracing experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Automotive (44%)
- Transportation (44%)
- Banking and Finance (33%)
- Healthcare (33%)
- Insurance (33%)
- Manufacturing (33%)
- Media and Entertainment (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Distributed tracing follows a request as it moves through services, queues, databases and external APIs. It records each step as a span and combines related spans into a trace, making latency, errors and service dependencies visible across a distributed system. Unlike a single service log, a trace shows the full path of one transaction.
Where it runs
The technology is central to microservices, cloud-native applications, event-driven platforms and service meshes. Companies use it to investigate slow checkout flows, failed payments, delayed data pipelines and unreliable API calls. It supports production systems in sectors such as finance, logistics, retail, healthcare and manufacturing, including teams operating across Germany and distributed locations.
Ecosystem and tooling
OpenTelemetry is the main vendor-neutral framework for collecting and exporting traces, metrics and logs. Experts commonly work with:
- OpenTelemetry SDKs, collectors and semantic conventions
- Jaeger, Grafana Tempo, Zipkin and vendor observability suites
- Kubernetes, Docker, Istio and other service-mesh environments
- Prometheus, Grafana, Elasticsearch and cloud tracing services
Typical assignments
Freelance specialists are brought in when tracing is missing, inconsistent or too expensive to operate. They design instrumentation standards, connect collectors and backends, and define sampling policies that retain useful evidence without overwhelming storage. Typical deliverables include dashboards, trace queries, service maps, runbooks and integrations with incident workflows.
When expertise matters
A company usually needs focused support during a microservice migration, a reliability programme, a platform consolidation or a major performance investigation. Warning signs include unclear ownership between services, logs that cannot be correlated, unexplained latency and incidents that take too long to isolate.
- Establish trace context propagation across HTTP, messaging and async jobs
- Find bottlenecks across service and database boundaries
- Standardise instrumentation for several languages and teams
- Reduce noisy traces through practical sampling and retention rules
Strong professional signals
Strong professionals understand application code, networking, containers and observability operations together. They know how W3C Trace Context, baggage, span attributes and sampling affect diagnostic value, cost and privacy. They validate instrumentation with realistic traffic, explain findings to engineering and operations teams, and leave behind maintainable configurations and clear documentation. For remote collaboration in Germany, concise written communication and dependable handovers matter as much as technical depth.
Frequently asked questions
Before you brief your next project: the most common questions about Distributed Tracing.
Distributed Tracing is used to follow a single request across services, queues, databases and third-party APIs. It helps teams locate latency, identify failing dependencies and understand how a distributed application behaves in production.
Distributed Tracing connects events from one request into a causal path, while logs provide detailed event messages and metrics show aggregated system behaviour. The three signals work best together: traces locate the affected path, logs explain the event and metrics reveal its scale and trend.
OpenTelemetry is primarily the collection and instrumentation framework, while Jaeger and Grafana Tempo are trace storage and analysis options. The right combination depends on existing Grafana or cloud tooling, retention needs, query patterns, language support and operational ownership.
A strong Distributed Tracing specialist usually understands Kubernetes, service meshes, HTTP, messaging systems, databases and cloud networking. Useful adjacent skills include structured logging, Prometheus metrics, CI/CD, incident response and performance profiling.
Distributed Tracing work benefits from experience with real production traffic rather than instrumentation in isolation. A professional should be able to define propagation, sampling and attribute standards, troubleshoot missing spans and explain the operational effect of trace data.
Distributed Tracing projects are often suitable for remote collaboration when access, security controls and ownership are clearly arranged. On-site work can help during sensitive migrations or incident reviews, while German or English communication should match the company’s working language.
A quality Distributed Tracing implementation preserves context across synchronous and asynchronous boundaries and produces useful, consistent span data. Check whether professionals test failure paths, control cardinality and sampling, protect sensitive attributes, document dashboards and measure the time needed to isolate incidents.
Before taking on Distributed Tracing, clarify the service architecture, supported languages, deployment model, existing observability stack and access restrictions. Also agree on success criteria, such as reliable context propagation, actionable dashboards, reduced investigation time or a documented operating model.
The average hourly rate of freelancers in Germany who have used Distributed Tracing in their recent projects is 91 €, which corresponds to a daily rate of about 725 € 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 43% 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 1.8 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 (11%).
The most common industries among freelancers in Germany who have used Distributed Tracing in their recent projects are Information Technology (100%), Automotive (44%), and Transportation (44%).
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 (56%).
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
