Amazon Web Services Experts in Zurich
, matched quickly with vetted and available freelance specialistsHire experts who design cloud architectures, automate infrastructure with Terraform and AWS CloudFormation, and deliver secure data, web and machine learning services on AWS. FRATCH finds a precise match among vetted, available freelancers in minutes.
Meet FRATCH Experts in Zurich, who have recently used Amazon Web Services
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.
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
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
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
- Decreased UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Shrunk development databases from 6 TB to 3 TB using Exadata columnar compression
- Tuned application performance by 30% using inmemory option
- Tuned non-production Exadata by 20% to release CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing acconting model for shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams of how to migrate to RAC
Jack S.
Last position:
Freelance - Fullstack Engineer at SMG Swiss Marketplace Group
- Supported the team in merging two real estate platforms into a unified Vue.js-based solution
- Developed a custom SSR microservice architecture deployed on AWS Lambdas
- Designed and implemented a map drawing feature
- Took ownership of migrating the microservice from Vue 2 to Vue 3
- Built a scalable SSR microservice architecture using AWS Lambda
- Developed and implemented a critical map drawing feature for real estate visualization
- Successfully migrated the microservice from Vue 2 to Vue 3
- Gained deep knowledge of AWS infrastructure, Datadog, Sentry, and Vite
- Technologies: Vue.js, Node.js, Vite, AWS Lambda, Datadog, Sentry, JavaScript
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
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
Deschances T.
Last position:
Senior Data Architect at Odd Parrot
- Supporting UBS Wealth Management as Senior Data Architect within a multi-year enterprise data mesh transformation.
- Guiding a strategic stream to design and implement a data product aligned with UBS’s enterprise-wide data mesh framework.
- Leading architecture definition, governance alignment, and cross-domain integration to ensure scalable, compliant, and reusable data products across global stakeholders.
- UBS – Global Wealth Management Data Product Architecture: Designed an enterprise-aligned data product spanning 26 countries, defining data contracts, metadata standards, and federated architecture patterns enabling cross-domain reuse across the bank.
- Defined cross-jurisdictional data policies and access controls to ensure compliance with regulatory requirements across multiple regions (EU, APAC, LATAM, CH).
Georgios S.
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Michael M.
Last position:
Field Engineer/Project Lead Windows Platform, Cloud Integration
- Medical software, migration from on-prem to cloud
- Requirements management, development, lifecycle based on Windows, Azure, O365, subsystems
Tomáš L.
Last position:
Senior Network Engineer at Migros
- Support across the entire Migros network
- MPLS, L3/L2, complex BGP network, Checkpoint and Fortinet firewalls/VPN, F5 proxies and load balancers, Cisco WLAN with Prime/CCC and DNAC (the largest in Switzerland), ISE, Bluecat DNS and IPAM, DAMS, PRTG, Git, Ansible, ACI with NCAE and NexusDashboard, SAN
Viktor D.
Last position:
Application Manager / IT Operations Engineer at SBB
- Coordination and implementation of setting up and further development of applications in close collaboration with external service providers as the internal technical contact person
- Ensuring stable, proper operation and maintenance of business-critical applications to support central business processes
- Analysis, handling, and sustainable resolution of application issues (incidents, problems) including workarounds in 2nd and 3rd level support
- Planning, coordination, and implementation of changes in ongoing application operations according to ITIL processes
- Participation in project teams for maintenance, further development, and integration of interfaces between different applications
- Support in creating, maintaining, and executing test cases as well as assisting with system, integration, and acceptance tests
- Operation, deployment, and maintenance of containerized applications using Docker
- Installation, configuration, integration, and testing of server and application software in virtualized and cloud environments (VMware, AWS)
- Operation and maintenance of virtualized application platforms (Windows Server/Client, VMware, AWS Cloud)
- User, role, and permission management in complex enterprise environments
- Creation and maintenance of technical documentation (operations concepts, changes, projects, interfaces)
- Close collaboration with internal departments, project management, and external partners and suppliers
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
2.2 years (Switzerland: 2.9 years)
Positions per freelancer
13 (Switzerland: 17)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
94% (Switzerland: 90%)
Master's degree or higher
63% (Switzerland: 55%)
Doctorate
6% (Switzerland: 7%)
Certifications per freelancer
5
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 Zurich 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.
Discover detailed Amazon Web Services rate benchmarks:
Explore rate insightsAverage rates of experts in Zurich 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 19 Sep 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 (100%)
- Banking and Finance (89%)
- Insurance (50%)
- Manufacturing (50%)
- Professional Services (50%)
- Government and Administration (50%)
- Telecommunication (50%)
- Education (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud foundation
Amazon Web Services, commonly called AWS, is a cloud computing ecosystem for running applications, storing data and delivering digital services. Companies use it to provision infrastructure on demand, connect distributed systems and scale workloads without maintaining their own data centres. Its broad service catalogue supports both simple web products and complex enterprise platforms.
Services and architecture
AWS projects can combine compute, storage, databases, networking, identity and observability into a secure operating model. Strong specialists know when to use services such as Amazon EC2, AWS Lambda, Amazon ECS, Amazon EKS, Amazon S3, Amazon RDS and Amazon DynamoDB. They design for resilience, clear ownership, controlled access and predictable operations rather than selecting services in isolation.
Typical delivery
- Landing zones, accounts, networking and identity with AWS IAM
- Container platforms with Amazon ECS or Amazon EKS
- Serverless APIs and event-driven workflows with AWS Lambda
- Data platforms using Amazon S3, Amazon Redshift and managed databases
- Monitoring, backup, disaster recovery and cost governance
Infrastructure as code commonly uses Terraform, AWS CloudFormation or the AWS CDK. Delivery pipelines may connect GitHub, GitLab, Jenkins or AWS CodePipeline with testing, security checks and controlled releases.
When expertise matters
Companies often bring in freelance AWS expertise during a migration, a platform rebuild or a move from a single application to distributed services. It is also valuable when cloud costs rise, deployments remain manual, permissions are unclear or production systems lack recovery plans. In Zurich, specialists may support financial services, manufacturing, healthcare, retail and software teams through remote work, on-site sessions or a blended setup.
Skills beyond AWS
The best professionals combine AWS knowledge with Linux, networking, containers, Kubernetes, databases and software delivery practices. They understand observability through tools such as Amazon CloudWatch, Prometheus and Grafana, and they can apply security controls across identity, encryption and network boundaries. Experience with Python, Java, Go or TypeScript helps when infrastructure and application design must evolve together.
Choosing a strong specialist
Look for clear explanations of architectural trade-offs, not just a list of AWS certifications. A capable specialist can review an existing account structure, trace a service dependency, improve a deployment path and document decisions for the internal team. Ask for relevant delivery examples, evidence of incident handling and a practical plan for security, resilience, operations and knowledge transfer. For Zurich-based collaboration, clarify availability, remote routines and the language needed for workshops and documentation.
Frequently asked questions
Key details about Amazon Web Services, drawn from the questions we get asked most.
Amazon Web Services is used to host applications, APIs, websites, data platforms and internal business systems. AWS also supports serverless computing, machine learning, content delivery, backups and event-driven integrations through managed services.
AWS offers a broad range of managed infrastructure, application, data and security services. Azure can be a natural fit for organisations centred on Microsoft technology, while Google Cloud is often considered for data and machine learning workloads; the right choice depends on existing skills, compliance needs, architecture and operating model.
Amazon Web Services work usually benefits from networking, Linux, containers, Kubernetes, databases and infrastructure as code. Security, observability, CI/CD and scripting with Python, TypeScript or Go are also useful when a specialist must improve the whole delivery path rather than one cloud service.
AWS project needs vary with the risk and complexity of the system. A small migration may need focused service knowledge, while a regulated production platform calls for experience with account structures, identity, resilience, monitoring, incident response and documentation.
Amazon Web Services projects are often well suited to remote collaboration because infrastructure, code and documentation are shared digitally. Zurich teams should still agree on workshop attendance, time-zone overlap, communication routines and whether German or English is required for stakeholder work.
AWS expertise can help when an internal team is facing a migration deadline, a difficult outage, rising cloud spend or an unfamiliar service design. A freelancer can provide focused delivery and transfer practical knowledge while the internal team keeps long-term ownership.
Amazon Web Services quality is visible in the specialist’s reasoning, documentation and operational habits. Ask how they handle least-privilege access, failure recovery, observability, deployment safety and cost controls, then request examples that show measurable improvements without exposing confidential details.
AWS professionals should clarify the business outcome, current account structure, data sensitivity, deployment process, ownership boundaries and definition of done. They should also confirm access rules, documentation expectations, support during incidents and the point at which responsibility returns to the client team.
The average hourly rate of freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects is 104 €, which corresponds to a daily rate of about 830 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects, 94% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects are German (94%), English (94%), and French (33%).
The most common industries among freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects are Information Technology (100%), Banking and Finance (89%), and Insurance (50%).
The most common business areas among freelancers in Zurich, Switzerland who have used Amazon Web Services in their recent projects are Information Technology (100%), Product Development (89%), and Operations (56%).
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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