Prometheus Experts in Switzerland
for reliable monitoring, matched in minutes with vetted and available freelancersHire experts who design Prometheus monitoring, build Grafana dashboards and connect alerting with Alertmanager across cloud-native environments. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your technical needs.
Meet FRATCH Experts in Switzerland, 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
Patrick R.
Last position:
DevOps Engineer at Swisscard AECS AG
- PoC for various platform integration functionalities using Backstage and Crossplane
- Implementation of improvements of developer experience with Azure AVD and DevSpace
- Manage application deployment infrastructure on Kubernetes clusters
- Manage CI/CD platform
- Manage deployments into Kubernetes (Rancher and AKS) and into Azure
- Act as security champion of the DevOps team
- Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
- Support building the platform team
- Manage infrastructure as code using Terraform and Atlantis
- Build and integrate a platform and IDP using Crossplane
Yassin B.
Last position:
Senior Software Development Engineer in Test (SDET) at Schweizerweg Gmbh
- Designed and executed automated and manual test cases for REST APIs and UI workflows using Selenide, Selenium, and Postman.
- Developed and maintained Gatling-based performance tests for simulating user load and validating system responsiveness and stability under stress.
- Integrated test suites into CI/CD pipelines with Jenkins, enabling rapid and reliable delivery cycles.
- Employed Splunk, Grafana, and Prometheus to monitor logs, track metrics, and perform in-depth application performance monitoring (APM).
- Utilized Swagger for validating and documenting API contracts and ensuring consistency across environments.
- Created and managed isolated test environments using Docker, enabling reproducible and consistent test execution.
- Collaborated with cross-functional teams using Confluence, Jira, and Bitbucket for agile planning, documentation, and version control.
- Worked in a Java/Spring Boot tech stack, leveraging Maven for project build automation and IntelliJ IDEA for development and debugging.
Key Achievements:
- Built a reusable Selenide-based UI automation framework that reduced test creation time by over 50%.
- Automated end-to-end test scenarios for critical business workflows, increasing test coverage and release confidence.
- Designed a modular Gatling load testing framework, used for continuous performance benchmarking.
- Detected and resolved several critical production performance issues through proactive APM and stress testing.
Yuri G.
Last position:
Senior Security Devops Engineer at Swisscom
- Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
- Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
- Migration from Docker Swarm to Kubernetes
- Infrastructure automation with Terraform
- Planning and execution of risk assessments, threat modeling, and compliance reports
- Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
- Leading integration tests and UAT (Cucumber, Selenium, Katalon)
- Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
- Integrating SAST tools like Snyk and SonarQube
- Release management and project coordination according to Scrum and SAFe
- Mentoring and technical support of junior team members
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
Stephan R.
Last position:
ICT Architect/Programmer, DevOps, Design, Implementation, Test, Documentation at PostFinance AG
Deployment of a Customer Engagement & Loyalty solution in the cloud (AWS) and integration into the existing on-premise system landscape.
Technology: AWS EKS - Kubernetes, Helm, AWS EC2, AWS S3, PostgreSQL, SAP GLIF, RabbitMQ, Git, GitLab, ArgoCD, GitOps, CI/CD, Terraform, HashiCorp Vault, JFrog Artifactory, Splunk, Prometheus, Grafana, Linux, bash, IntelliJ, draw.io, Confluence
Result: Deployment of a cross-product bonus program for retail banking, embedded into online and mobile banking; actual and emotional customer engagement; improved profitability and loyalty; support for cross- and upselling; long-term improvement in customer satisfaction and positive impact on the company image.
Kevin H.
Last position:
Senior Frontend Engineer (freelance) at Ricardo
- Helping my former employer to deliver new search related features faster
Discover over 15,000 top freelancers
Statistics of experts using Prometheus
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Operations
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
67%
Certifications per freelancer
6
Most common languages
German, English, French
Speak two or more languages
100%
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 Switzerland 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 Switzerland 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 19 Sep 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 (73%)
- Education (45%)
- Professional Services (45%)
- Government and Administration (45%)
- Retail (36%)
- Telecommunication (36%)
- Aerospace and Defense (27%)
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 for collecting time-series data. It stores measurements with labels, evaluates queries through PromQL and raises alerts when defined conditions occur. Companies use it to observe services, containers, Kubernetes workloads, networks and infrastructure.
Core monitoring model
Prometheus commonly pulls metrics from HTTP endpoints that expose the Prometheus exposition format. Its dimensional data model makes it possible to filter and aggregate measurements by service, region, instance or environment. Exporters extend coverage to systems that do not expose native metrics, while recording rules support efficient recurring queries.
Ecosystem and tooling
- Configure Prometheus servers, targets, service discovery and scrape jobs
- Create PromQL queries, recording rules and alerting rules
- Connect Alertmanager for routing, grouping, silencing and notifications
- Build Grafana dashboards from Prometheus data
- Monitor Kubernetes through kube-state-metrics and node-level exporters
The wider ecosystem includes Pushgateway for limited batch scenarios, client libraries for common programming languages and integrations for cloud, database and network monitoring. Strong specialists also understand metric naming, labels, cardinality and retention.
When companies need expertise
Freelance expertise is useful when a monitoring setup must move from basic infrastructure checks to dependable service observability. Common assignments include Kubernetes monitoring, dashboard redesign, alert tuning, migration from another system and performance troubleshooting. In Switzerland, remote collaboration often works well, while on-site workshops can help teams align monitoring standards across local operations.
Delivery and reliability
A capable professional starts with service objectives and the questions operators need answered, rather than collecting every available metric. They define useful labels, control cardinality, protect Prometheus storage and test alerts against realistic failure scenarios. They can also document ownership, escalation paths and dashboard conventions so the system remains usable after handover.
Choosing the right specialist
Look for practical evidence of production monitoring, not only familiarity with configuration files. Relevant experience includes PromQL, Alertmanager, Grafana, Kubernetes, Linux, containers and infrastructure automation. Ask how the specialist handles missing targets, noisy alerts, high-cardinality labels, long-term storage and federation or remote write requirements. A strong professional explains trade-offs clearly and connects metrics to action.
Frequently asked questions
Need clarity? These are the questions we hear most often about Prometheus.
Prometheus collects and stores time-series metrics from applications, infrastructure and platforms. Companies use it to create dashboards, query system health with PromQL and trigger alerts through Alertmanager.
Prometheus is primarily a metrics collection, time-series storage and alerting system, while Grafana is commonly used to visualize its data. It is often weighed against systems such as InfluxDB, Zabbix, Datadog or cloud-native monitoring services; the right choice depends on retention, operational model, integrations and total ownership effort.
A strong Prometheus specialist usually understands Grafana, Alertmanager, PromQL, Kubernetes, Docker, Linux and infrastructure automation. Experience with exporters, service discovery, CI/CD and cloud environments is also valuable when monitoring spans many systems.
The scope matters more than a fixed career history. A basic dashboard or scrape setup may need focused monitoring experience, while federation, high-cardinality data, Kubernetes at scale or long-term storage require a professional who has operated Prometheus in comparable production conditions.
Yes. Prometheus configuration, queries, dashboards and alert reviews are well suited to remote collaboration when documentation and access controls are clear. For Swiss teams, language expectations, working hours and occasional on-site workshops should be agreed before the engagement starts.
Ask the specialist to explain metric design, label strategy, cardinality control and alert thresholds using a realistic service example. Good Prometheus work links alerts to clear actions, avoids noisy notifications and includes tests, runbooks and ownership details.
No. Prometheus focuses on metrics and should usually be combined with logs and distributed traces for complete observability. A specialist should explain which questions metrics can answer and when a log or trace is the better source of evidence.
Common risks include uncontrolled label cardinality, excessive retention, poorly designed alerts and missing coverage for critical services. An experienced Prometheus professional addresses these issues through naming conventions, capacity planning, alert testing and a clear rollout plan.
The average hourly rate of freelancers in Switzerland who have used Prometheus in their recent projects is 116 €, which corresponds to a daily rate of about 924 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Prometheus in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Prometheus in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Switzerland who have used Prometheus in their recent projects are German (100%), English (100%), and French (27%).
The most common industries among freelancers in Switzerland who have used Prometheus in their recent projects are Information Technology (100%), Banking and Finance (73%), and Education (45%).
The most common business areas among freelancers in Switzerland who have used Prometheus in their recent projects are Information Technology (100%), Product Development (100%), and Operations (64%).
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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Philipp Thomaschewski
FRATCH CEO
