
Amazon Web Services Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Amazon Web Services
Claus N.
Last position:
Oracle Database Engineer at BBV.ch
- Migration of databases from ODA to ExaData
- Migration of databases from ExaData to ExaCC/OCI
- Reduced UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Reduced development databases from 6 TB to 3 TB using Exadata columnar compression
- Improved application performance by 30% using the inmemory option
- Improved non-production Exadata performance by 20% to free up CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing an accounting model for a shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams on how to migrate to RAC
Nikita V.
Last position:
Salesforce Technical Architect at Fennia
- Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
- Resolved WCAG AA compliance issues to support strict accessibility requirements.
- Integrated legacy systems into a new portal via REST API to support existing products.
Frank G.
Last position:
Agile Coach and Program Manager at Centris AG
The insurance application service provider in Switzerland intended to develop a multi-channel output system to support their customers on their digital enhancement journey.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 5 teams in the ART. Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
The insurance application service provider in Switzerland intended to transform their claims management BPO and IT team into an agile delivery organization.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 2 teams in an ART.
- Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
Patrick B.
Last position:
Senior Software Engineer at On AG
- Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
- Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
- Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
- Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
- Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
- Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
- Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Rupesh Kumar S.
Last position:
IT Baseline Compliance Consultant at Consultant
- Verified baseline compliance against MAS audit findings
- Developed technical architecture concepts for 30 technologies to create hardening standard artifacts
- Identified and developed automation opportunities for given technologies based on CIS
- Developed standard baseline configurations based on internal security standards
- Responsible for developing Cloud Native Application Protection Platform (CNAPP) architecture artifacts based on the Azure cloud platform
- Responsible for RFQs and RFPs for different CNAPP solutions (Qualys Total Cloud, CrowdStrike, Azure Security Center)
- Supported compliance verification and validation through automated scripts for a sample population of IT devices and instances
- Responsible for the full vulnerability management lifecycle using Nexpose, including remediation, reporting, and integrating results with Splunk, HPSM, and Tableau
- Supported MAS audits
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
Philippe P.
Last position:
Functional lead Absence & Recruiting at McDermott
McDermott – Functional lead Absence & Recruiting
- Rollout of Absence module for Germany
- Rollout of Recruiting module for France
- Product: Workday
- Project phase: country rollout
- C-level and steering committee reporting
Ralf R.
Last position:
Infrastructure-as-Code Transformation Architect at ODDO BHF
Responsible for designing and delivering a company-wide, comprehensive Infrastructure-as-Code (IaC) transformation in a regulated banking environment.
Conducted an assessment of the current infrastructure, processes, tools, teams, ways of working and skill profiles as a basis for the target architecture and a PDO (Product-Driven Organization)
Defined a tailored, audit-ready Everything-as-Code infrastructure (including governance, security and compliance)
Built a comprehensive IaC operating model, integrating and transforming internal teams
Designed standardised, reusable Terraform modules for infrastructure and platform services
Integrated secrets management, PKI and Encryption-as-a-Service to secure critical VMware and Kubernetes platform components and stored data
Implemented the platform in line with regulatory requirements (DORA, BaFin, ACPR, CRA), with a focus on auditability and traceability
The initiative provides the foundation for standardised, automated and audit-ready infrastructure, reduces manual intervention and enables scalable, traceable delivery of IT resources in a banking environment.
Pedro C.
Last position:
Senior Project Manager (previously Cloud Project Manager) at IBM Client Innovation Center (formerly Nordcloud)
- Led a migration team of several squads for a Public Sector client (on-prem to AWS & Azure), incl. lift-and-shift and database modernisation to PostgreSQL.
- Led AWS/Azure discovery & assessment of 80+ applications and 400+ environments, delivering the wave plan.
Piotr C.
Last position:
Full Stack Software Developer at Meteomatics AG
- Created the MetX Assistant and was its primary driver from concept through production with real users; designed and oversaw telemetry and presented the system in demos.
- Built React, TypeScript and Python features for MetX, a scientific weather visualization platform; integrated internal data APIs and improved caching, request handling and rendering workflows.
- Contributed to company MCP tooling and led AI workshops and internal automation initiatives, including experiments connecting AI agents with Slack, Jira and Git.
- Acted as the team's Observability and DevOps subject matter expert, supporting service reliability, deployment workflows, monitoring and troubleshooting.
- Participated in Security, Observability and AI Communities of Practice.
Hanspeter J.
Last position:
Lead Consultant Salesforce DACH at DXC Technology
- Recording, validating and coordinating customer requirements
- Analyzing commercial processes at customers, as well as designing and implementing solution designs in Salesforce
- Designing and developing Salesforce architectures based on Sales and Service Cloud
- Maintaining and expanding own competence in order to know the new functions of Salesforce
- Taking an active role in the pre-sales phase and working closely with the sales and pre-sales teams
- Building and consolidating maturity within the team in new topics
- Actively helping to define and align own role within the DXC Best Practice
- MC Growth implementation
- AI Agentforce Agents Builder
- Agent Designer with elements.cloud
- Salesforce ORG assessments
- Process configuration mining
- Single point of contact for SFDC contacts global
- Project coordination with the EMEA and global head
- Proposal presales work with Salesforce AE and client partners for global accounts
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.
Markus S.
Last position:
Domain Architect Core Party Data at ING DiBa AG
Technologies: Confluence, PlantUML, BPMN
- As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.
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
Discover over 15,000 top freelancers
Statistics of experts using Amazon Web Services
Aggregated from the professional profiles of matched freelancers.
Experience
23 years

Position duration
2.8 years

Positions per freelancer
16

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Banking and Finance, Professional Services

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
91%
Master's degree or higher
59%
Doctorate
6%

Certifications per freelancer
5

Most common languages
English, German, French

Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Switzerland 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.
Discover detailed Amazon Web Services rate benchmarks:
Explore rate insightsAverage rates of experts in Switzerland using Amazon Web Services
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon Web Services 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 (98%)
- Banking and Finance (82%)
- Professional Services (50%)
- Insurance (45%)
- Manufacturing (45%)
- Government and Administration (45%)
- Telecommunication (41%)
- Energy (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud foundation
Amazon Web Services (AWS) is a cloud computing ecosystem for running applications, storing data, processing events and connecting business systems. Companies use services such as Amazon EC2, Amazon S3, Amazon RDS and AWS Lambda to assemble infrastructure that fits their workload. It supports prototypes, customer platforms and large enterprise environments.
Architecture choices
AWS projects require clear decisions about networking, identity, resilience and cost. Professionals design accounts and regions, configure Amazon VPC, choose managed services and define backup or disaster recovery approaches. They may combine containers on Amazon ECS or Amazon EKS with queues, APIs, databases and observability services.
Delivery ecosystem
Strong AWS work connects infrastructure with repeatable delivery and operational control.
- Infrastructure as code with Terraform, AWS CloudFormation or AWS CDK
- CI/CD pipelines using GitHub Actions, GitLab CI or AWS CodePipeline
- Containers, Kubernetes, serverless functions and event-driven workflows
- Monitoring with Amazon CloudWatch, logs, metrics and distributed tracing
Where it runs
AWS supports e-commerce, financial services, manufacturing, media, healthcare and public-sector workloads. Teams use it for APIs, web applications, data lakes, analytics pipelines, machine learning services, IoT back ends and migration programs. In Switzerland, local teams may need close coordination across German-, French- and Italian-speaking stakeholders while maintaining secure remote collaboration.
When specialists help
Companies bring in freelance expertise when an AWS landing zone needs structure, a migration is blocked or cloud spend and access controls are difficult to govern. They also seek support before a launch, during a security review or when internal teams need to transfer operational knowledge.
- Move workloads from private infrastructure to AWS
- Modernize monoliths into managed or serverless services
- Harden IAM, networking, encryption and audit trails
- Improve reliability, deployment flow and incident readiness
What quality looks like
A strong professional explains trade-offs instead of promoting a single AWS service. They document architecture, automate changes, test recovery, limit permissions and make ownership clear. Look for evidence of production delivery, practical troubleshooting and collaboration with security, product and operations teams.
Frequently asked questions
Questions about Amazon Web Services? Start with the answers below.
Amazon Web Services provides cloud services for compute, storage, databases, networking, security, analytics and application integration. Companies use AWS to run web platforms, APIs, data pipelines, serverless workloads, container environments and machine learning systems.
AWS offers a broad service catalog and deep support for many architecture patterns, from virtual machines to serverless and managed databases. Azure can be a natural fit for organizations centered on Microsoft identity and software, while Google Cloud is often considered for data and machine learning strengths; the right choice depends on existing systems, compliance needs and team skills.
Amazon Web Services work usually benefits from Linux, networking, identity and access management, security, databases and software delivery knowledge. Terraform, Kubernetes, Git, CI/CD, observability and scripting are also valuable when infrastructure must be automated and operated reliably.
AWS project needs vary with risk and scope rather than a fixed number of years. A simple workload may need focused service knowledge, while a migration or regulated production environment calls for a professional who has handled architecture decisions, security controls, recovery testing and live incidents.
Amazon Web Services projects can usually be delivered remotely when access, documentation and communication routines are well defined. Swiss companies should clarify expected overlap hours, data-handling rules, on-site workshops and whether collaboration requires German, French, Italian or English.
AWS may be a poor fit when a workload has unusual latency, hardware or data-residency constraints that managed cloud services cannot satisfy economically. A careful assessment should compare operational control, migration effort, contractual requirements and the value of alternatives such as Azure, Google Cloud or private infrastructure.
AWS quality is visible in clear architecture diagrams, tested infrastructure changes, least-privilege access and useful operational documentation. Ask how the professional handles failure, backups, observability, cost controls and handover, then review examples that match the security and scale of your environment.
Amazon Web Services engagements may produce a target architecture, account and network setup, infrastructure-as-code modules, deployment pipelines, monitoring dashboards and security documentation. The scope should also define testing, recovery procedures, ownership and knowledge transfer so the internal team can operate the result.
The average hourly rate of freelancers in Switzerland who have used Amazon Web Services in their recent projects is 113 €, which corresponds to a daily rate of about 907 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Amazon Web Services in their recent projects, 91% hold at least a Bachelor's degree, 59% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Switzerland who have used Amazon Web Services in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Switzerland who have used Amazon Web Services in their recent projects are English (98%), German (93%), and French (39%).
The most common industries among freelancers in Switzerland who have used Amazon Web Services in their recent projects are Information Technology (98%), Banking and Finance (82%), and Professional Services (50%).
The most common business areas among freelancers in Switzerland who have used Amazon Web Services in their recent projects are Information Technology (100%), Product Development (80%), and Operations (57%).
Main locations of FRATCH Experts, who have recently used Amazon Web Services
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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