PCI DSS Experts in Munich
matched in minutes from over 15,000 CVsHire experts who assess payment environments, prepare compliance evidence and strengthen controls across cloud, infrastructure and software delivery. Get precise, fast matching with vetted and available freelancers who understand cardholder data and audit demands.
Meet FRATCH Experts in Munich, who have recently used PCI DSS
Martin R.
Last position:
TECH DUE DILIGENCE FOR PE, VC & FAMILY OFFICES (UNDER NDA) – AI STRATEGY at PE-, VC- & Family-Office-Portfoliounternehmen (vertraulich, unter NDA)
Two parallel workstreams: (1) Tech Due Diligence for acquisitions and portfolio companies. (2) AI strategy certification and AI governance consulting.
- Tech assessments for PE/VC acquisitions: code reviews, architecture analysis, scalability assessment
- Tech assessment frameworks and integration roadmaps for portfolio companies
- TÜV SÜD certification program: AI governance, EU Artificial Intelligence Act (EU AI Act)
- Strategic AI roadmap development for mid-sized companies
Results:
- Delivered several tech DD reports for investment decisions
- Developed integration roadmaps for portfolio companies
- TÜV SÜD “AI Strategy & Application Expert” (expected 31.12.2026)
Vicenco K.
Last position:
ITSM Project Manager (self-employed)
Unified ITSM framework
- Definition of a company-wide ITSM target picture
- Introduction of a uniform service structure across all business units
SLA and OLA management
- Building a standardized SLA framework
- Definition of service classes (Business Critical, Standard, Low Priority)
- Introduction of OLAs between internal teams
- Building meaningful SLA reporting
- Definition of KPI and service dashboards for business units
Service portfolio management
- Definition of service descriptions
- If needed, preparing possible cost and service billing
Ticketing & processes
- Incident management
- Uniform ticket categories
- Standardized prioritization
- Escalation matrix
- Automations
- Self-service optimization
Request fulfillment
- Service catalog across all business units
- Approval workflows
Problem management
- Introduction of root cause analysis
- Known error database
- Problem review process
Complete asset management concept
- Hardware lifecycle management
- Software lifecycle management
- Leasing lifecycle
- Mobile device lifecycle
- Monitor lifecycle
- Phone lifecycle
Processes
- Procurement
- Goods receipt
- Inventory
- Assignment
- Return
- Disposal
- Leasing return Goal: single source of truth for all assets
CMDB design
- Definition of all configuration items:
- Workplace
- Notebooks
- Monitors
- Mobile phones
- Printers
Infrastructure
- Servers
- Firewalls
- Switches
- WLAN
- Storage
- Backup systems
Cloud
- Azure resources
- Microsoft 365
- SaaS services
Relationships
- User ↔ Asset
- Asset ↔ Service
- Service ↔ Infrastructure
- Location ↔ Asset
- Goal: make all service dependencies visible
Software asset & license management
- License management concept
- License balancing
- Compliance reporting
- Microsoft license management
- Adobe license management
- SaaS management
- Contract management
- Renewal management
Interfaces & automation Existing systems
- Workday
- Joiner
- Mover
- Leaver
TESMA
- Leasing data
- Contract data
Matrix42
- Asset synchronization
- User synchronization
Active Directory / Entra ID
- User management
Microsoft 365
- License assignment
- Group management
Dormakaba
Access processes
Lifecycle services
Monitoring platforms
- PRTG
- Palo Alto
- Cisco
Reporting & KPI framework
- Definition of a management dashboard
- KPIs
- Ticket volume
- SLA fulfillment
- MTTR
- First resolution rate
- Asset accuracy
- License compliance
- Change success rate
- Service availability
- Degree of automation
Network redesign support
- Governance
- Support of the network redesign from an ITSM point of view
- Definition of affected services
- Change management structure
- Communication concept
CMDB integration
- Recording of all network components
- Service mapping
- Dependency analysis
Validation of documentation and knowledge base articles
- Network documentation
- Operations documentation
- Standard changes
Monitoring & event management
- Target picture
- Central monitoring concept
- Event management process
- Alerting strategy
- Escalation model
Systems
Cisco
Palo Alto
Fortinet
Rubrik
Veeam
Matrix42
Azure
Microsoft 365 Automation
Ticket creation from monitoring
Escalations
Standard actions
Audit, compliance & information security
- ISO 27001 consulting
- TISAX consulting
- NIS2 preparation - consulting
- Audit-ready processes
- Documentation structure
- Evidence tracking in Matrix42
Roadmap
- 12-month roadmap
- Prioritization of all measures
- Quick wins
- Medium-term projects
- Long-term target picture
- Documentation
Alexandru G.
Last position:
Principal Cloud DevOps Architect at BP
In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.
Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.
In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.
To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.
Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.
Achievements:
- Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
- Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
- Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
- Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
- Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
- Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
- Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
- Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
- Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
- Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
- Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
- Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
- Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
- Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.
Tech stack:
- Infrastructure as Code: Terraform, AWS CDK, Ansible.
- Containers: Kubernetes on EKS, AKS, Docker.
- Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
- Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
- Backend: Python with FastAPI, also Node.js with NestJS.
- Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
- CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
- Monitoring and Observability: Prometheus and Grafana.
- Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
- ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
- Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
- Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.
Serge K.
Last position:
Data Scientist & MLOps (Machine Learning Operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
Enis S.
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
Rupesh K.
Last position:
IT Baseline Compliance Consultant at Consultant
- Baseline compliance verification against MAS audit findings
- Building technical architecture concept for 30 technologies to build hardening standard artifacts
- Identifying and building automation possibilities for given technologies based on CIS
- Building the standard baseline configuration based on internal security standard
- Responsible for building Cloud Native Application Protection Platform (CNAPP) architecture artifacts based on Azure cloud platform
- Responsible for RFQ and RFP for different CNAPP solutions (Qualys Total Cloud, CrowdStrike, Azure Security Center)
- Supporting compliance verification and validation via automated scripts for a sample population of IT devices and instances
- Responsible for complete vulnerability management lifecycle using Nexpose, remediation, reporting and integration of results with Splunk, HPSM and Tableau
- Audit support for MAS
Otto H.
Last position:
Ubuntu Linux System Support at Self-employed
- Linux system support for clients in an enterprise DevOps environment
- Bash shell scripting
- Git
- SaltStack
- Foreman
- Podman/Docker
- Jira
- Confluence
- Daily Scrum meetings
Discover over 15,000 top freelancers
Statistics of experts using PCI DSS
Aggregated from the professional profiles of matched freelancers.
Experience
28 years (Germany: 22 years)
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
12 (Germany: 15)
Top business areas
Information Technology, Operations, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
86% (Germany: 87%)
Master's degree or higher
71% (Germany: 53%)
Doctorate
29% (Germany: 8%)
Certifications per freelancer
4 (Germany: 5)
Most common languages
German, English, French
Speak two or more languages
86% (Germany: 96%)
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 Munich 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 Munich using PCI DSS
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.
PCI DSS 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 (57%)
- Education (43%)
- Media and Entertainment (43%)
- Professional Services (43%)
- Tourism (43%)
- Automotive (29%)
- Energy (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What PCI DSS covers
PCI DSS, the Payment Card Industry Data Security Standard, sets security requirements for organisations that store, process or transmit payment card data. It covers the cardholder data environment, access control, encryption, vulnerability management, monitoring and incident response. PCI compliance is a continuous control process, not a one-time audit exercise.
Where it is used
PCI DSS applies to payment gateways, online stores, acquiring services, retailers, subscription businesses and service providers handling card transactions. Specialists help define scope and protect systems such as checkout services, tokenisation layers, payment APIs, databases and logging platforms. In Munich, this expertise is relevant to companies operating digital commerce and payment services across Germany and wider European markets.
Ecosystem and tooling
Strong PCI DSS work connects security policy with practical technology choices. Relevant areas include network segmentation, identity and access management, endpoint protection, secrets management, vulnerability scanners, SIEM platforms, file integrity monitoring and cloud security controls. Professionals also work with payment processors, qualified security assessors and approved scanning vendors where the assessment path requires them.
When companies bring in specialists
Companies often need external expertise when payment scope is unclear, controls have grown inconsistent or an assessment is approaching. A specialist can turn requirements into an evidence-backed plan and coordinate technical teams.
- Map cardholder data flows and define the environment
- Review segmentation, access and encryption controls
- Prepare policies, test records and audit evidence
- Remediate findings and establish ongoing monitoring
What strong professionals deliver
Effective PCI DSS professionals combine audit discipline with hands-on security knowledge. They can interview stakeholders, inspect configurations, test controls and explain risks in language that business and technical teams understand. They distinguish compensating controls from lasting remediation and keep evidence traceable to the requirement it supports.
They also understand shared responsibility in cloud environments and can coordinate remote work with on-site workshops in Munich when sensitive processes, infrastructure or stakeholders require direct collaboration.
Choosing the right expertise
Look for professionals who have led assessments or remediation across environments similar to yours, not only completed training. Ask how they reduce scope, validate segmentation, handle third-party payment services and maintain evidence after the assessment. Relevant adjacent skills include incident response, application security, cloud governance, data protection and secure software delivery.
A good engagement starts with a clear view of payment flows, systems in scope, assessment expectations and internal ownership. The right specialist then produces practical priorities, measurable control improvements and documentation your teams can maintain.
Frequently asked questions
Questions about PCI DSS? Start with the answers below.
PCI DSS is used to protect payment card data and reduce the risk of unauthorised access, loss or misuse. It gives organisations requirements for secure networks, access, encryption, vulnerability management, monitoring and incident response. The exact obligations depend on the organisation’s role and payment environment.
PCI DSS focuses specifically on payment card data and the controls required by the card payment ecosystem. GDPR covers the broader processing and protection of personal data, including rights, lawful processing and data governance. A company may need to meet both, with overlapping but different objectives.
A strong PCI DSS specialist should understand network segmentation, identity management, encryption, vulnerability handling, logging and incident response. Cloud security, application security, data protection and audit evidence management are also valuable. Experience with payment processors and third-party service providers helps clarify shared responsibilities.
Companies often engage PCI DSS professionals when they are defining scope, preparing for an assessment, responding to findings or changing their payment architecture. External support is also useful when internal teams lack time to assemble evidence or when responsibility between the company and service providers is unclear.
The right level of PCI DSS experience depends on the environment’s complexity, payment flows and assessment route. A focused scope review may need a short specialist engagement, while remediation across cloud, applications and operations requires broader delivery experience. Prior work in a comparable payment environment is more useful than a generic compliance background.
PCI DSS work can often be delivered remotely through secure documentation reviews, interviews, configuration checks and evidence workshops. On-site sessions in Munich may help when teams need direct access to facilities, operational processes or sensitive infrastructure. Agree access rules, communication language and data-handling procedures before work begins.
Good PCI DSS work links every finding to a clear risk, owner, remediation step and piece of evidence. Ask for examples of scope reduction, segmentation validation, control testing and sustainable monitoring. Strong professionals explain limitations plainly and avoid treating documentation alone as proof of security.
For PCI DSS in the cloud, responsibility is divided between the cloud provider, payment service providers and the customer. The specialist must identify which controls each party operates, verify configurations and maintain evidence for the in-scope services. Tokenisation and hosted payment pages may reduce exposure, but they do not remove the need for accurate scope analysis.
The average hourly rate of freelancers in Munich, Germany who have used PCI DSS in their recent projects is 117 €, which corresponds to a daily rate of about 934 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used PCI DSS in their recent projects, 86% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Munich, Germany who have used PCI DSS in their recent projects have 28 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Munich, Germany who have used PCI DSS in their recent projects are German (100%), English (86%), and French (29%).
The most common industries among freelancers in Munich, Germany who have used PCI DSS in their recent projects are Information Technology (100%), Banking and Finance (57%), and Education (43%).
The most common business areas among freelancers in Munich, Germany who have used PCI DSS in their recent projects are Information Technology (100%), Operations (100%), and Project Management (86%).
Main locations of FRATCH Experts, who have recently used PCI DSS
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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