Observability Expert in Frankfurt
to make complex systems visible, with precise AI matching and vetted, available freelancersHire experts who connect metrics, logs and traces across cloud-native systems, shape OpenTelemetry instrumentation and improve incident response. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Frankfurt, who have recently used Observability
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Kevin F.
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Saqib J.
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Conceptual design and implementation of modular AI assistants for sales and business processes in the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP server, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting as well as mentoring in the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
Monika T.
Last position:
Senior ETL Lead at Takeda GmbH
- Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
- Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
- Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
- Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
- Designed scalable data foundations suitable for downstream analytics and AI workloads.
- Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Florian F.
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Oluwasegun A.
Last position:
Observability Specialist at ING GmbH
- Requirements analysis for the enterprise-wide observability platform.
- Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
- Conducting load tests for capacity planning of metrics for the observability platform.
- Documentation and implementation of compliance standards for production readiness.
- Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
- Setting up alerts for critical applications for proactive incident response.
- Integration of OpenShift applications into the enterprise-wide observability stack.
Neha K.
Last position:
Team Lead | Senior Java Developer at Capgemini
- Tech Stack: Java 17, Spring Boot, Microservices, REST, GraphQL, Spring AI, Jenkins, Docker, Git/Bitbucket, JUnit, Splunk
- Led a team of 6 to deliver policy, claims, and onboarding modules serving 50k+ users, maintaining 99.9% uptime
- Cut release cycle time by 35–40% by automating CI/CD with Jenkins and Docker
- Implemented trunk-based branching in Git/Bitbucket
- Integrated 10+ REST APIs and streamlined customer workflows, boosting process automation by 40%
- Increased system stability with proactive Splunk alerting and runbooks, reducing outages by ~25%
- Driven quality with JUnit tests (92% coverage) and code reviews; enforced standards with static checks such as SonarQube
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Delly F.
Last position:
Dad of 2 daughters at Family
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Discover over 15,000 top freelancers
Statistics of experts using Observability
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
2 years (Germany: 2.9 years)
Positions per freelancer
10 (Germany: 9)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
30% (Germany: 55%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 96%)
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 Frankfurt 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 Frankfurt using Observability
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.
Observability 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 (73%)
- Automotive (45%)
- Transportation (36%)
- Education (27%)
- Insurance (27%)
- Manufacturing (27%)
- Government and Administration (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Observability covers
Observability shows what is happening inside a software system by combining metrics, logs and distributed traces. It helps teams move from a symptom, such as a slow checkout, to the underlying service, dependency or deployment that caused it. The discipline covers instrumentation, data collection, analysis and action across applications and infrastructure.
Where it is used
Observability supports systems where reliability, speed and clear ownership matter:
- Tracing requests across microservices and APIs
- Monitoring Kubernetes workloads and cloud infrastructure
- Linking application errors to releases and infrastructure changes
- Defining service level objectives and useful alerts
- Building dashboards for operations, product and security teams It is valuable in online services, financial systems, logistics, manufacturing and other environments with distributed workloads.
Ecosystem and tooling
Strong specialists work across OpenTelemetry, Prometheus, Grafana, Jaeger and major cloud monitoring services. They understand collectors, exporters, sampling, alert rules, dashboards and telemetry pipelines, while adapting tools to the runtime rather than adding noise. APM platforms such as Datadog, New Relic and Dynatrace may complement an open telemetry stack.
When expertise matters
Companies bring in freelance expertise when incidents are hard to diagnose, telemetry costs rise, or monitoring is split across teams and tools. Specialists can assess an existing setup, define a practical signal strategy, instrument critical services and create runbooks that help teams respond consistently. In Frankfurt, they may support local operations on site while collaborating remotely with international product and platform teams.
Typical deliverables
A project may produce an observability roadmap, OpenTelemetry instrumentation, dashboards, alert policies, service maps and trace-based troubleshooting workflows. It can also include collector configuration, data retention guidance, integration with incident management and documentation for application teams. Good deliverables make signals understandable and tied to clear operational decisions.
What strong experts bring
The best professionals combine software, infrastructure and operations knowledge. They distinguish actionable signals from decorative dashboards, protect sensitive data and design alerts around user impact instead of infrastructure activity alone. They explain trade-offs clearly, test telemetry during real failure scenarios and leave teams able to maintain the system. German or English communication can support collaboration with Frankfurt-based and international stakeholders.
Frequently asked questions
Questions about Observability? Start with the answers below.
Observability is used to understand the internal state of applications and infrastructure from their external outputs. By correlating metrics, logs and traces, teams can find the cause of failures, latency and capacity problems instead of reacting only to visible symptoms.
Observability goes beyond predefined checks and dashboards by helping teams investigate unknown problems in complex systems. Traditional monitoring often answers whether a known condition is healthy, while observability connects telemetry to explain why user-facing behavior changed.
A strong Observability specialist may work with OpenTelemetry, Prometheus, Grafana, Jaeger, Kubernetes and cloud monitoring services. Experience with APM products such as Datadog, New Relic or Dynatrace can also be useful when a company has an established vendor stack.
Observability projects often require knowledge of cloud platforms, Kubernetes, distributed systems, networking and software delivery pipelines. Incident response, service level objectives, security and data retention are also important because telemetry must support reliable decisions without exposing sensitive information.
The right Observability experience depends on the system’s architecture and the project’s scope. A professional assessing a few services needs a different background from one designing telemetry across many teams, regions or regulated workloads; practical evidence of similar systems matters more than a generic seniority label.
Observability work is often suitable for remote collaboration because configuration, dashboards and telemetry pipelines can be reviewed through shared environments. On-site workshops in Frankfurt may still help with incident reviews, stakeholder alignment and access constraints, especially when operations teams are local.
Good Observability work connects each signal to a question the team needs to answer. Ask for examples of reduced alert noise, traceable user journeys, tested failure scenarios, clear ownership and documentation that application teams can use without depending on the specialist.
Bring in an Observability freelancer when incidents cross service boundaries, teams cannot trust their dashboards or telemetry costs are difficult to control. A specialist can create a focused assessment, improve the highest-value paths and transfer practical methods before a longer-term operating model is chosen.
The average hourly rate of freelancers in Frankfurt, Germany who have used Observability in their recent projects is 98 €, which corresponds to a daily rate of about 785 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Observability in their recent projects, 100% hold at least a Bachelor's degree and 30% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Observability in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Observability in their recent projects are German (100%), English (100%), and Persian (9%).
The most common industries among freelancers in Frankfurt, Germany who have used Observability in their recent projects are Information Technology (100%), Banking and Finance (73%), and Automotive (45%).
The most common business areas among freelancers in Frankfurt, Germany who have used Observability in their recent projects are Information Technology (100%), Product Development (73%), and Quality Assurance (64%).
Main locations of FRATCH Experts, who have recently used Observability
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
