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Jaeger Experts in Germany

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Hire experts who trace microservices, debug latency spikes, and tune distributed request flows with Jaeger, OpenTracing, and modern observability stacks. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Germany, who have recently used Jaeger

Verified expert

Salim Chehab

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Cloud / Systems Architect

Stuttgart
Salim Chehab

Last position:

Cloud / Systems Architect

  • Development and introduction of operational processes
  • Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
  • Introduction of a workshop on IaC (Infrastructure as Code)
  • Professional consulting for the project's security concept (ISMS)
  • Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
  • Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
  • Analysis and resolution of incidents and system outages
  • Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
  • Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
  • Consulting on Ansible deployments and infrastructure automation
  • Consulting on building a scalable system in the cloud (AWS / Azure)
  • Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Verified expert

Daniel Sedlack

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Senior Software Engineer

Hamburg
Daniel Sedlack

Last position:

Senior Software Engineer at energielenker solutions GmbH

  • Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
  • Defined time-based and dependency-based jobs
  • Deployed to managed Kubernetes clusters using Helm
  • Integrated InfluxDB Cloud
  • Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
  • Developed dashboards and visualizations in Grafana
  • Developed unit tests with mocking using pytest
  • Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

Verified expert

Patrick Eichler

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PROFESSIONAL IN GOOGLE CLOUD & KUBERNETES

Wildau
Patrick Eichler

Last position:

Honorary Lecturer at SRH University Berlin

  • Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
  • Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
  • Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
  • DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
  • Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Verified expert

Werner Keil

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Test Coordinator, Designer and Engineer

Bad Homburg
Werner Keil

Last position:

Test Coordinator, Designer and Engineer at IBM

  • Testing the SekIDP and related components
  • Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Verified expert

Muthukumar Kusalavan

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Senior Java Backend Developer

Muthukumar Kusalavan

Last position:

Senior Java Backend Developer at Upwork

  • Developed Java 21 / Spring Boot 3.2 microservices with REST and GraphQL APIs for GDPR-compliant consent workflows using Hexagonal Architecture
  • Enhanced Backend-for-Frontend (BFF) performance using AI-assisted tools for code refactoring and optimization
  • Built event-driven workflows with Kafka, RabbitMQ, AWS SQS, and integrated Salesforce Marketing Cloud for real-time consent tracking
  • Implemented OAuth2 and Keycloak security, automated CI/CD with Jenkins, GitHub Actions, and Gradle, and deployed containerized services on Docker and Kubernetes with AWS and Azure
  • Executed unit, integration, and contract testing with JUnit 5, TestNG, Mockito, and TestContainers; monitored performance via Grafana, Kibana, and AWS CloudWatch
  • Developed microservices for digital identity verification and e-signature management with Hexagonal Architecture
  • Integrated Keycloak 24.x with OAuth2.1 and OpenID Connect for SSO and RBAC, ensuring EU eIDAS compliance
  • Designed API-first microservices with OpenAPI 3.1, Swagger, and GraphQL for improved interoperability
  • Automated CI/CD pipelines with Jenkins, GitHub Actions, and Gradle; deployed containerized services on AWS EKS and Azure; monitored with Grafana, Kibana, CloudWatch, and TestContainers
Verified expert

Jürgen Fey

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AR/VR/XR Architect

Aßling
Jürgen Fey

Last position:

AR/VR/XR Architect at Deutsche Telekom

  • Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
  • Evaluated available options for backend, streaming and client implementations
  • Developed PoC implementations and conducted technical evaluation of potential components
  • Led the development team and defined the target system architecture for a complete end-to-end solution
  • Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
  • Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
  • Worked on GPU scheduling, CUDA and related topics
  • Defined and implemented backoffice and end user dashboards using Grafana and Superset
  • Used Jaeger tracing to analyze specific events
  • Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
  • Integrated AR/VR/XR IoT devices
  • Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
  • Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios
Verified expert

Kalpesh Patil

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Intern Java Developer

Berlin
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
Verified expert

Patrick Scheel

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Senior Platform Engineer | Kubernetes | GitOps | Site Reliability Engineering

Seelow
Patrick Scheel

Last position:

Site Reliability / Platform Engineer – AIS Healthcare Platform at Labtastic Solutions UG (limited liability)

  • Operated and stabilized Kubernetes platform
  • Implemented a complete observability stack
  • Set up GitOps deployment processes with ArgoCD
  • Defined SLIs/SLOs and governance
  • Conducted incident analysis and automated operations
Verified expert

Bela Bocsak

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Full Stack Lead Developer, Backend Architect

München
Bela Bocsak

Last position:

Full Stack Lead Developer, Backend Architect at Telefonica (O2)

  • The software supports the complete planning and approval of antennas for mobile telephony.

  • The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.

Verified expert

Rashid Ibragimov

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Java Developer

Schwalbach am Taunus
Rashid Ibragimov

Last position:

Java Developer at IT company

  • Data transformations
  • IT company with more than 100 employees
  • Software production
  • Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
  • Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum

Discover over 15,000 top freelancers

Statistics of experts using Jaeger

Aggregated from the professional profiles of matched freelancers.

Experience

17 years

Position duration

1.5 years

Positions per freelancer

15

Top business areas

Information Technology, Product Development, Quality Assurance

Top industries

Information Technology, Banking and Finance, Automotive

Certification focus areas

Information Technology, Operations, Product Development

Bachelor's degree or higher

89%

Master's degree or higher

67%

Doctorate

33%

Certifications per freelancer

3

Most common languages

German, English, Spanish

Speak two or more languages

92%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€320 €320-​480 €640-​800 €800-​960 €960+

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 Jaeger

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 740 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 724 €

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 Jaeger does

Jaeger is a distributed tracing system for understanding how a request moves through services. It helps teams find slow spans, broken dependencies, and hidden bottlenecks in microservice and event-driven systems. Companies use it to support incident work, performance analysis, and service mapping.

Where it fits

  • Trace REST, gRPC, and async service calls
  • Diagnose latency across service chains
  • Correlate errors with trace context
  • Review user journeys in complex systems

Jaeger is often used with OpenTelemetry and, in older setups, OpenTracing. In Germany, it is common in platform teams that run cloud-native services across several internal products.

Skills that matter

Strong Jaeger professionals understand trace sampling, context propagation, span design, and backend storage choices. They know how to read traces, shape meaningful tags, and keep instrumentation useful instead of noisy. Good work also depends on knowing the surrounding observability stack.

Typical tasks

  • Add tracing to services and libraries
  • Standardize trace IDs across teams
  • Improve dashboards and service maps
  • Prepare incident views for on-call use

Freelancers are often brought in when tracing needs to be added quickly, rebuilt after a migration, or cleaned up after inconsistent instrumentation. They also help when a team needs a short, focused review before a release or platform change.

What strong experts deliver

A strong specialist does more than turn Jaeger on. They make traces readable, tie them to logs and metrics, and help teams answer real questions fast. That usually means good naming, careful sampling, and a clear plan for what should be traced.

Germany projects

German companies often need Jaeger support for regulated services, internal platforms, and distributed backends that must be easy to debug across teams. Remote work is common, but on-site sessions help when trace design, incident reviews, or architecture alignment need close collaboration. Clear English is usually enough; German helps in cross-team workshops.

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Frequently asked questions

Quick answers to the questions that come up most around Jaeger.

Jaeger is used to trace requests through distributed systems so teams can see where time is spent and where failures begin. It is common in microservices, service meshes, and event-driven applications. Companies use it to debug latency, follow request paths, and support incident analysis.

Jaeger is a tracing backend and UI, while OpenTelemetry is the instrumentation standard many teams now use to send trace data. In practice, they often work together: OpenTelemetry collects and exports traces, and Jaeger stores and shows them. Older teams may still mention OpenTracing, but OpenTelemetry is the more common skill set today.

You want a specialist who understands tracing data, distributed systems, and the services your team runs. A strong Jaeger freelancer can set up instrumentation, review span structure, and connect tracing with logs and metrics. They should also know how to work with your runtime, language, and deployment setup.

A good Jaeger engagement usually needs skills in OpenTelemetry, Kubernetes, Docker, and at least one service runtime such as Java, Go, Node.js, or Python. Observability tools like Prometheus and Grafana are also relevant because traces become more useful when they are read alongside metrics and logs. For larger setups, service mesh knowledge helps too.

It depends on the goal. Simple trace viewing is straightforward, but production instrumentation in a distributed system needs someone who has worked with sampling, context propagation, and trace design before. If the project touches critical services, choose a Jaeger specialist who has handled real incident work.

Yes. Many Jaeger tasks can be done remotely because the work is mainly about instrumentation, review, and troubleshooting. For Germany-based teams, remote collaboration works well when the specialist can join technical discussions in clear English and, if needed, support a few on-site workshops.

Look for clear examples of trace design, not just screenshots of the UI. A strong Jaeger specialist explains how they reduced noisy spans, improved service naming, and made traces useful for developers and on-call teams. They should also show they can connect tracing to the rest of the observability stack.

Teams usually call for Jaeger help when tracing is missing, too noisy, or inconsistent across services. It is also common after a migration to microservices, a move to OpenTelemetry, or repeated incidents where logs and metrics were not enough. In those cases, a focused specialist can stabilize the setup quickly.

The average hourly rate of freelancers in Germany who have used Jaeger in their recent projects is 93 €, which corresponds to a daily rate of about 740 € based on an 8-hour working day.

Of the freelancers in Germany who have used Jaeger in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 33% hold a doctorate.

On average, freelancers in Germany who have used Jaeger in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.5 years.

The most common languages among freelancers in Germany who have used Jaeger in their recent projects are German (92%), English (92%), and Spanish (17%).

The most common industries among freelancers in Germany who have used Jaeger in their recent projects are Information Technology (100%), Banking and Finance (75%), and Automotive (50%).

The most common business areas among freelancers in Germany who have used Jaeger in their recent projects are Information Technology (100%), Product Development (92%), and Quality Assurance (67%).

Main locations of FRATCH Experts, who have recently used Jaeger

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

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Philipp Thomaschewski

FRATCH CEO

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