Prometheus Experts in Switzerland
in minutes from over 15,000 CVs with vetted, available specialists and the power of AI.Hire experts who design Prometheus monitoring stacks, write PromQL for clear dashboards and alerts, and connect exporters, Alertmanager, and Grafana to production systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Prometheus
Christoph Pardon
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 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% through CI/CD pipeline optimization and the introduction of 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
Osman Tartoussi
Last position:
Senior Developer and Consultant at Federal Office for IT and Telecommunications BIT
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration and continuous delivery in the backend and frontend area.
Technology stack:
JAVA 21
Spring Boot 3
Spring Framework 6
Spring Rest
Spring Data
JPA
Postgres
Aurora Database
Typescript
OWASP
Renovatebot
Sonarqube
Prometheus
Grafana
Spring Security
Single SignOn
Keycloak
Angular 19
NgRx Redux
AWS ECS
AWS Cloudwatch
Terraform
Spacelift
GitOps
Docker
Junit
Maven
Jenkins Pipeline
GitHub
BitBucket
Nexus
Kafka
Conduktor
Kafdrop
OpenApi
Swagger
Scrum
SAFe
Jira
Confluence
Milan Simonović
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 Renduchintala
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 Riegler
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 Ben Khalifa
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 Gladkov
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 Kéri
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
Stephan Rudolph
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.
Karl Estermann
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
Kevin Herklotz
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
22 years
Position duration
2.1 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
63%
Certifications per freelancer
6
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Monitoring foundations Prometheus is an open-source monitoring system built for metrics-based observability. It collects time-series data from applications, services, and infrastructure, then lets teams query that data with PromQL. Companies use it to spot load changes, failures, and regressions before they spread.
What it powers
- Kubernetes and container monitoring
- Service health and latency tracking
- Alerting for incidents and SLO breaches
- Dashboards for operations and release reviews
- Custom metrics for internal services
Core ecosystem Prometheus rarely runs alone. Strong specialists work with exporters, Alertmanager, Grafana, service discovery, scrape configs, and remote storage when retention or scale needs grow. They also know how to shape metrics so the signals stay useful instead of noisy.
When to bring in help Teams usually need freelance expertise when monitoring is unclear, alerts are noisy, or a platform move changes how metrics are exposed. The same applies when a new product launches, a Kubernetes setup needs proper visibility, or an existing Prometheus stack needs cleanup. In Switzerland, this often supports distributed teams that want smooth remote collaboration and clear handover notes.
What good specialists do
- Build clean metric naming and label strategies
- Write PromQL queries that answer real questions
- Tune alert rules to reduce false alarms
- Set up exporters and scrape targets correctly
- Document dashboards, runbooks, and alert paths
Signs of strong expertise A strong Prometheus professional understands how metrics flow from code to alert. They can explain trade-offs in cardinality, retention, and scrape intervals, and they know when to pair Prometheus with Grafana, Loki, or other observability tools. For companies in Switzerland, that usually means someone who can work well with local teams in English and keep the setup practical, maintainable, and easy to hand over.
Frequently asked questions
Need clarity? These are the questions we hear most often about Prometheus.
Prometheus is used to collect and query metrics from applications, services, and infrastructure. Teams use it for health monitoring, alerting, capacity checks, and dashboarding. It is especially useful when you need fast answers about what changed and where the pressure is building.
Prometheus focuses on collecting and querying metrics, while Grafana is mainly used for visualization and Datadog is a broader hosted observability suite. Many teams use Prometheus with Grafana because the two tools solve different parts of the monitoring problem. The right choice depends on whether you need self-managed control, hosted convenience, or both.
A strong Prometheus specialist should know PromQL, metric design, alert rules, exporters, and service discovery. Good knowledge of Kubernetes, Linux, and alert routing is also useful because Prometheus often sits in that environment. Clear documentation and practical troubleshooting matter just as much as tool knowledge.
Often, yes. Prometheus is commonly used to monitor Kubernetes clusters, so a freelancer who understands pods, services, ingress, and cluster dynamics can configure it more cleanly. If your stack is not container-based, that background is still helpful but less central.
A simple Prometheus setup can be handled by a specialist who has done a few production rollouts and knows the common pitfalls. More complex environments need deeper experience with label cardinality, alert tuning, multi-cluster setups, and long-term storage. The right level depends on whether you are starting fresh or repairing an existing stack.
Yes. Prometheus work is usually well suited to remote collaboration because most tasks involve configuration, query design, dashboard review, and alert tuning. For Swiss teams, the key is good written communication, clean handover notes, and agreed working hours for incident follow-up.
Ask for examples of real monitoring setups, not just tool familiarity. A strong Prometheus professional can explain why certain metrics matter, how they reduced alert noise, and how they kept the system maintainable. Look for clear reasoning about labels, scrape intervals, retention, and alert design.
The most common Prometheus terms are PromQL, Alertmanager, exporters, and scrape targets. Grafana often appears alongside them for dashboards, and Kubernetes is a frequent environment for deployment. A good specialist should be comfortable with all of these without turning the setup into unnecessary complexity.
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 63% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Prometheus in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Switzerland who have used Prometheus in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Switzerland who have used Prometheus in their recent projects are Information Technology (100%), Banking and Finance (64%), and Government and Administration (55%).
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 Quality Assurance (73%).
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
