Jaeger Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Jaeger
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
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
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical 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
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Lasse B.
Last position:
Infrastructure Engineer at YC Infra AI Startup
Built and operated the entire infrastructure and observability platform for an AI agent evaluation platform on AWS/Kubernetes. Led the evolution of an AI-first cloud-native platform by building end-to-end observability, automating infrastructure and CI/CD, improving reliability and scalability, optimizing performance through data-driven engineering, and operating in an AI-native development workflow centered on rapid iteration, code review, and automation. Tech stack included Terraform, AWS, Kubernetes, Grafana, Github Actions, Python, and Cursor.
Daniel S.
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 E.
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 K.
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 K.
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 F.
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 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
Patrick S.
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 B.
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 I.
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 A.
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
18 years
Position duration
1.5 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
82%
Master's degree or higher
64%
Doctorate
27%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
93%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jaeger 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%)
- Banking and Finance (67%)
- Insurance (60%)
- Automotive (53%)
- Transportation (53%)
- Education (47%)
- Energy (40%)
- Healthcare (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Distributed tracing
Jaeger is an open-source distributed tracing system for following requests across microservices. It records spans, groups them into traces and exposes timing, errors and service dependencies. Teams use this evidence to find latency, failed calls and hidden coupling in complex applications.
Core components
Jaeger includes agents, collectors, query services and storage integrations. Its user interface helps professionals inspect trace timelines, service graphs and operation details. Current implementations commonly use OpenTelemetry for instrumentation and export data through the OpenTelemetry Protocol.
Ecosystem and tooling
Jaeger fits into cloud-native environments and observability workflows. Relevant skills often include:
- OpenTelemetry SDKs, collectors and OTLP pipelines
- Kubernetes, Helm and containerized deployments
- Prometheus, Grafana and alerting workflows
- Elasticsearch, Cassandra or other trace storage options
- Go, Java, Python, Node.js or .NET instrumentation
When expertise matters
Companies bring in freelance Jaeger specialists when traces are incomplete, storage costs grow or incidents cross several services. They may need help replacing legacy instrumentation, tuning sampling, integrating Jaeger with an existing platform or defining useful service-level views. In Germany, projects often combine remote delivery with on-site workshops for teams operating regulated or business-critical systems.
Typical deliverables
Jaeger work can cover an observability design, instrumentation plan or production deployment. Common deliverables include:
- Trace context propagation across synchronous and asynchronous services
- Sampling rules aligned with incident response and retention needs
- Collector pipelines with secure transport and access controls
- Dashboards, runbooks and trace-based troubleshooting guidance
- Migration from Jaeger clients to OpenTelemetry instrumentation
What strong specialists bring
Strong professionals understand tracing as part of software delivery, not as an isolated interface. They can explain span boundaries, baggage, sampling trade-offs and propagation failures in practical terms. They also test traces under load, document ownership and connect findings to logs, metrics and deployment changes. Clear communication matters when remote teams and German-based stakeholders investigate incidents together.
Frequently asked questions
Quick answers to the questions that come up most around Jaeger.
Jaeger is used for distributed tracing in applications made up of multiple services. It shows how a request travels through those services, where time is spent and which calls fail. This helps teams investigate latency and production incidents.
Jaeger is primarily a tracing backend and user interface, while OpenTelemetry provides vendor-neutral instrumentation, collection and telemetry export. Many teams use OpenTelemetry to generate and send trace data to Jaeger. They serve related but different roles in an observability setup.
Jaeger work benefits from knowledge of OpenTelemetry, Kubernetes, service meshes and container operations. A strong professional should also understand logs, metrics, context propagation and storage systems such as Elasticsearch or Cassandra. Experience with application code makes instrumentation more reliable.
Jaeger expertise needed depends on the scope. A small instrumentation task may require focused knowledge of one application stack, while a production rollout needs experience with sampling, collectors, security, retention and incident workflows. Ask candidates to show comparable tracing designs and explain their trade-offs.
Jaeger projects are often suitable for remote collaboration because configuration, instrumentation reviews and trace analysis can be performed online. On-site sessions may help when teams need workshops around production systems or sensitive operational processes in Germany. Agree on access, documentation and communication language before work begins.
Jaeger quality is visible in complete traces, useful span names, correct propagation and controlled storage growth. Ask for a test plan covering errors, asynchronous messaging and sampling behavior. The professional should also connect trace findings to concrete remediation steps rather than only present visualizations.
Jaeger does not replace logs or metrics. Traces explain the path and timing of an individual request, metrics show system behavior over time and logs provide detailed event context. The three signals work best when they share correlation data and support the same incident workflow.
Jaeger specialists should understand the move toward OpenTelemetry-based instrumentation and OTLP pipelines. They may still encounter older Jaeger clients, agents and deployment patterns that require careful migration. Familiarity with both approaches helps professionals maintain existing systems while planning a cleaner future setup.
The average hourly rate of freelancers in Germany who have used Jaeger in their recent projects is 92 €, 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, 82% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 27% hold a doctorate.
On average, freelancers in Germany who have used Jaeger in their recent projects have 18 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 (93%), English (93%), and Spanish (13%).
The most common industries among freelancers in Germany who have used Jaeger in their recent projects are Information Technology (100%), Banking and Finance (67%), and Insurance (60%).
The most common business areas among freelancers in Germany who have used Jaeger in their recent projects are Information Technology (100%), Product Development (93%), and Operations (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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
