Observability Experts in Frankfurt
in minutes from over 15,000 CVs with the power of AIHire experts who design monitoring, logs, metrics, tracing and alerting for modern systems. They work with OpenTelemetry, Prometheus, Grafana and APM setups, then help teams tune signal quality and reduce noise. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Observability
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Kevin Fischer
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 Javed
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 Mugwang'a
Last position:
CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform at Personal Project
- Enterprise-grade multi-agent AI orchestration platform built with Go and Kubernetes for scalable, secure agent coordination in cloud-native environments.
- Multi-agent orchestration with intelligent workload distribution and dynamic scaling.
- Cloud-native architecture with Kubernetes deployment and horizontal auto-scaling.
- Real-time coordination with sub-100ms agent communication using Go channels.
- Enterprise security with zero-trust architecture, RBAC, and comprehensive audit trails.
- Visual workflow engine with monitoring, observability, and API gateway integration.
- Technologies: Go, Kubernetes, ArangoDB, gRPC, Prometheus, Grafana.
Monika Thepale
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 Fladung
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 Adebayo
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 Khare
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 Hußke
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 Fofie
Last position:
Dad of 2 daughters at Family
Jörg-Ulrich Hammerbacher
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
Position duration
2.1 years
Positions per freelancer
10
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%
Master's degree or higher
30%
Certifications per freelancer
3
Most common languages
German, English, Persian
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
About the technology
What it covers
Observability helps teams understand how systems behave in real time. It combines logs, metrics and traces so specialists can find issues, follow requests across services and explain what changed after a release. It is used for cloud apps, APIs, microservices and platform operations.
Common stack
- OpenTelemetry for instrumentation and context propagation
- Prometheus for metrics and alert rules
- Grafana for dashboards and service views
- Loki, Tempo or Jaeger for logs and tracing
- APM tools for deeper application insight
Typical work
Strong professionals set up instrumentation, define useful signals and build dashboards that people actually use. They also create alerts that point to real problems, not noise. In Frankfurt, this often matters for finance, logistics and SaaS teams that need clear visibility across distributed systems.
When to hire
Bring in freelance expertise when monitoring is incomplete, incidents are hard to explain, or teams cannot connect logs to traces. It also helps during a cloud migration, a platform rebuild or after introducing Kubernetes. A specialist can review the current setup and focus it on the systems that matter most.
What good looks like
A good observability specialist works from the question, not the tool. They know how to choose signals, label data clearly and avoid dashboards that look busy but say little.
- clear SLI and SLO thinking
- clean instrumentation and trace context
- useful alerts with low noise
- secure handling of operational data
Collaboration
Observability work often fits both remote and on-site setups. Remote collaboration works well for dashboard design, tracing reviews and alert tuning, while on-site time in Frankfurt can help when teams need shared incident reviews or access to internal systems. Good communication with platform, backend and operations specialists is key.
Frequently asked questions
Questions about Observability? Start with the answers below.
Observability means making a system understandable from the data it emits. Instead of guessing, specialists use logs, metrics and traces to see what happened, where it happened and how it spread through the stack. That makes incident handling and performance work much faster and more precise.
A strong observability setup is broader than classic APM. APM often focuses on application performance in a specific tool, while observability connects signals across services, infrastructure and dependencies. In many projects, APM becomes one part of the wider observability design.
Observability projects often use OpenTelemetry because it gives teams a common way to collect traces, metrics and logs. It helps avoid vendor lock-in and makes it easier to instrument services consistently. A freelancer should know how to add SDKs, collectors and exporters without breaking production traffic.
Observability work usually goes with solid knowledge of distributed systems, cloud infrastructure and incident response. Experience with Prometheus, Grafana, Loki, Jaeger and Kubernetes is useful when the stack is modern and service based. Good specialists also understand alert design and how to keep operational data clean.
A observability specialist can start with limited context if the service map, current alerts and incident history are available. But the more they understand about critical flows, deployment patterns and business risk, the better they can tune signals. For larger systems, a short discovery phase is worth it.
Yes, most observability tasks can be done remotely, including dashboard work, tracing analysis and alert refinement. For Frankfurt teams, on-site time can still help during incident reviews, access discussions or when sensitive systems require closer coordination. The right mix depends on security rules and team habits.
A good observability specialist explains trade-offs clearly and starts with business-critical flows. They do not just install tools; they reduce noise, improve signal quality and make alerts actionable. Look for someone who can show how their work helped find root causes faster or made releases safer.
Observability projects often include Prometheus, Grafana, OpenTelemetry, Loki, Tempo and Jaeger. The exact stack depends on whether the team needs metrics, tracing, log search or a full monitoring platform. A capable freelancer can work with one tool or connect several into a coherent setup.
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 2.1 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.
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Hamburg 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
