Prometheus Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used Prometheus
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Milan S.
Last position:
Cloud Architect & DevOps at Avaloq
- Main cloud solution architect on a banking SaaS offering hosted in Azure.
- Fully automated the Azure infrastructure in Terraform.
- Reduced cloud costs by 50%.
- Responded to incidents, found root-causes and closed with post-mortems.
Venkata R.
Last position:
Continuous Learning at Personal Time Off
- ZHAW CAS Secure Software Design and Development
- German C1 and Goethe Certificate C1
- ETH CAS Cloud and Mobile Computing at ETH Zurich
- Linux Foundation Linux System Administration LFS307
- Linux Foundation Kubernetes Fundamentals LFS258
- Linux Foundation Kubernetes for Application Developers LFD459
- Linux Foundation Kubernetes Security Fundamentals LFS460
Csaba K.
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Karl E.
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Discover over 15,000 top freelancers
Statistics of experts using Prometheus
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
1.8 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
60%
Certifications per freelancer
4
Most common languages
German, English, Arabic
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Zurich 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 Zurich using Prometheus
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Prometheus 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 (83%)
- Education (67%)
- Professional Services (50%)
- Government and Administration (50%)
- Real Estate (50%)
- Retail (50%)
- Automotive (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Prometheus does
Prometheus is an open-source monitoring and alerting system built around time-series data. It collects metrics from applications, infrastructure and services, then stores them with labels for flexible queries. PromQL helps teams investigate performance, capacity and reliability issues.
Core monitoring model
Prometheus usually pulls metrics from targets over HTTP at defined intervals. Exporters expose data from systems that do not provide Prometheus metrics directly, while service discovery keeps monitored targets current. Its local time-series database supports fast operational analysis.
- Instrument applications with client libraries
- Design useful metric names and labels
- Configure scrape jobs and service discovery
- Write PromQL queries for dashboards and investigations
Ecosystem and tooling
Strong Prometheus work often includes Grafana for dashboards and Alertmanager for grouping, routing and silencing alerts. Specialists may also work with Kubernetes service discovery, Helm, exporters, recording rules and remote storage. OpenTelemetry can complement Prometheus in broader observability setups.
When companies need specialists
Companies bring in freelance expertise when monitoring is incomplete, alerts are noisy or a growing Kubernetes estate needs a clear operating model. Zurich teams may also need professionals who can collaborate on-site or remotely with multilingual product, infrastructure and operations groups.
- Create service-level metrics and alert rules
- Reduce alert fatigue and improve escalation paths
- Tune retention, cardinality and scrape performance
- Connect Prometheus data to Grafana and incident workflows
Delivery and integration work
A specialist can introduce metrics without adding excessive application overhead, then connect them to deployment and incident processes. Typical deliverables include instrumentation plans, PromQL libraries, dashboards, alert policies, exporter configurations and runbooks. Kubernetes deployments require careful handling of labels, discovery and access control.
What strong professionals bring
Good Prometheus professionals understand distributed systems, Linux, networking and the failure modes behind the metrics. They distinguish symptoms from causes, keep label cardinality under control and test alerts against realistic incidents. They also explain trade-offs between local storage, federation and remote-write designs in clear operational terms.
Frequently asked questions
Questions about Prometheus? Start with the answers below.
Prometheus is used to collect and query time-series metrics from applications, services, containers and infrastructure. Teams use it for dashboards, capacity planning, troubleshooting and alerting, often with Grafana and Alertmanager.
Prometheus is an open-source, pull-based monitoring system with a powerful label model and PromQL. InfluxDB may suit teams focused on time-series storage, while Datadog provides a broader managed observability service; the right choice depends on operating model, scale, integrations and control requirements.
A strong Prometheus specialist usually understands Grafana, Alertmanager, Kubernetes, Linux and cloud infrastructure. Experience with exporters, PromQL, service discovery, recording rules and OpenTelemetry is also valuable for production monitoring.
The need depends on the project scope. A focused dashboard or exporter task may require targeted Prometheus knowledge, while a production-wide monitoring redesign calls for experience with alert strategy, cardinality, storage, incident response and distributed systems.
Prometheus work is often well suited to remote collaboration because configuration, queries, dashboards and infrastructure changes can be reviewed in shared repositories. On-site sessions in Zurich can still help when teams need workshops, access coordination or incident-process alignment.
Ask how the professional would choose labels, control cardinality and separate symptom alerts from actionable alerts. A capable Prometheus specialist should be able to show clear PromQL reasoning, explain trade-offs and connect metrics to real operational decisions.
Common mistakes include using unbounded labels, collecting every available metric, creating alerts without owners and ignoring retention or storage growth. Prometheus also needs thoughtful scrape intervals, target discovery and failure testing to remain useful under pressure.
Prometheus integrates closely with Kubernetes through service discovery, exporters and widely used monitoring components. A specialist can combine it with Grafana, Alertmanager and cloud APIs, while accounting for short-lived workloads, changing labels and the limits of local storage.
The average hourly rate of freelancers in Zurich, Switzerland who have used Prometheus in their recent projects is 100 €, which corresponds to a daily rate of about 800 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Prometheus in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used Prometheus in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Zurich, Switzerland who have used Prometheus in their recent projects are German (100%), English (100%), and Arabic (17%).
The most common industries among freelancers in Zurich, Switzerland who have used Prometheus in their recent projects are Information Technology (100%), Banking and Finance (83%), and Education (67%).
The most common business areas among freelancers in Zurich, Switzerland who have used Prometheus in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Prometheus
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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