Jaeger Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Jaeger
Ornel Franck Wora Yeno
Last position:
Purchasing Manager, Logistics & IT Manager at Onlinehandler
Proactive support of management in business field development & innovation management
New development of a suite of business applications for analyzing valuation, P&L, and market price risk data
Automation of all internal and external business and work processes
Development of AI-based and AI-supported ETL processes as well as data analysis
Business use-case development
Business and work process optimization
Enterprise architecture management
Sales data analysis and forecasting as well as capture
Inventory management & reordering
Supplier management and communication
Customs processing & clearance
Shipping handling & warehouse coordination
Interface management
Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports
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
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
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.
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
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
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
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 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
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.
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
Emre Ates
Last position:
Development of a software solution for archiving and a GenAI-based Q&A tool
- Banking industry
- Configuration and setup of a Google Cloud project with the Vertex AI API, Vertex AI Matching Engine, and Google Cloud Storage
- Development of Python services for ingesting and analyzing data in various formats using the Q&A API
- Containerization of components and implementation of Kubernetes configurations
- Development of a .NET service and a React frontend for data-driven capture with dynamic process steps
- Refactoring and functional extension of existing code to meet new requirements in ingestion and reconciliation
- Technologies: .NET Core, Moq, C#, PostgreSQL, Entity Framework, Avro, Python, Flask, Flask unittest, Pip, LangChain, RabbitMQ, REST, Jupyter, Docker, GitHub, kubectl, Google Vertex AI, Google Vertex AI Matching Engine, BigQuery, Google Gemini, React, Bootstrap, Vite, Vitest, npm
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
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.
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 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.
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.
Request a free demo
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