AWS Certified Solutions Architect – Associate
professionals from 15,000 CVs with fast, precise AI matchingFind freelancers who can design secure AWS architectures, choose the right cloud services, and connect compute, storage, networking, and identity into stable systems. You get fast, precise matching with vetted professionals who hold the AWS Certified Solutions Architect – Associate credential.
Meet FRATCH AWS Certified Solutions Architect – Associate
Vivekanandhan S.
Last position:
DevOps Consultant/Site Reliability Engineer at IONOS
- Manage multiple Kubernetes clusters in Production with Ceph as storage layer.
- Implemented CICD pipelines for automating deployments with Gitlab CI
- Terraform for Infrastructure provisioning.
- Claude code
- Helm charts for deploying via ArgoCD
- Implemented automated incident notification pipelines in Kubernetes to align with NIS2 mandatory 24-hour early warning disclosure rules
- Configured Azure Policy and Logging guardrails aligned with BSI IT-Grundschutz (SYS.1.3 / OPS.1.1), ensuring continuous baseline compliance across 50+ cloud workloads
Environment: Gitlab CI, IONOS Cloud, Ceph, ArgoCD, terraform, Elastic cluster, Grafana, Alert Manager & Prometheus
David J.
Last position:
External AI Solution Architecture Engagement via Zühlke
- Challenge: Assess the feasibility of voice support for patient intake, pre-qualification, routing and documentation.
- Action: Designed the speech recognition, agent control, documentation and integration architecture; assessed latency, language quality, privacy and regulatory requirements.
- Result: Built a working multilingual proof of concept in three days, demonstrating voice interaction, triage, suspected diagnosis and AI-supported documentation. This made the next technical and clinical review points visible. No production deployment is documented.
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.
Caleb C.
Last position:
Senior Python Backend Engineer at Simon-Kucher
Transmission system operator – network provisioning platform (team lead)
- Designed the saga orchestrator in Python that provisions network fabrics with rollback.
- Split IP, identity, and resource allocation into bounded contexts with their own databases and typed clients.
- Implemented data access using DDD repositories and units of work, with no SQL in the domain code.
- Required integration tests using real PostgreSQL and RabbitMQ containers, and API fuzzing for every service.
- Introduced an agent workflow where a spec starts each change and a human approves every merge.
- Rolled out OpenTelemetry auto-instrumentation through GitOps across eighteen Kubernetes clusters.
- Led incident response for stuck provisioning and recorded every outage as a post-mortem.
Languages and software used: Python, FastAPI, Pydantic v2, SQLAlchemy async, PostgreSQL, RabbitMQ, Celery, pytest, testcontainers, schemathesis, Helm, Flux CD, GitLab CI, OpenTelemetry, pi coding agent.
Software product company – datacenter simulation SaaS (backend development)
- Built the asynchronous simulation pipeline as the second-largest contributor among more than twenty team members.
- Tagged every image by commit SHA and semver in the GitHub Actions deployment workflows.
- Diagnosed the RabbitMQ memory alarm that froze every simulation and fixed the limits in the Helm chart.
- Converted the test suite to function-style pytest, with coverage reported in every pipeline.
Languages and software used: Python, FastAPI, SQLAlchemy, Alembic, Celery, RabbitMQ, Redis, PostgreSQL, S3, EKS, Helm, Keycloak, GitHub Actions, pytest, mypy, ruff, SonarQube.
Internal AI platform – model serving and telemetry
- Built the FastAPI service that deploys open-weight models on GPU tiers as OpenAI-compatible endpoints.
- Upgraded production EKS by two Kubernetes minor versions and fixed zone-bound storage faults.
- Traced every model call, including its token count, cost, and latency, through the OpenTelemetry operator.
Languages and software used: Python, FastAPI, vLLM, LangGraph, pydantic-ai, OpenAI and Anthropic APIs, EKS, Helm, Flux CD, Terraform, GitLab CI, OpenTelemetry, Grafana.
Emre H.
Last position:
Senior System Engineer at Premedia GmbH
- Service Owner (AWS Cloud)
- IT infrastructure (virtualization, firewall, backup, monitoring, etc.)
- Application support/monitoring
- Web server and database administration
- Planning and design of new projects
Stephan R.
Last position:
ICT Architect/Programmer, DevOps, Design, Implementation, Testing, Documentation at PostFinance AG
Delivery 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: Delivery of a cross-product rewards program for retail banking customers, integrated into online and mobile banking; building both practical and emotional customer loyalty; increasing profitability and loyalty; encouraging cross-selling and upselling; improving customer satisfaction over the long term and positively influencing the company’s image.
Rohit T.
Last position:
Senior Software Engineer at KRiAN GmbH
Clients: CARIAD, AUDI AG
- Built and deployed enterprise MLOps pipelines using Azure Machine Learning and Databricks. Reduced model release cycles by 95 percent, from four weeks to two days, through automated CI CD workflows.
- Delivered cloud native DevOps platforms for ADAS programs using Azure data services, Kubernetes, and Terraform based infrastructure provisioning.
- Designed high availability architectures with automated failover. Cut system downtime by 85 percent for mission critical energy trading platforms.
- Developed and integrated AI agents and enterprise chatbots using LangChain, AutoGPT, and GPT models. Enabled autonomous workflows and decision driven automation.
- Reduced cloud infrastructure spend by 40 percent through autoscaling strategies, spot instance usage, and policy driven resource governance across Azure and AWS.
- Partnered with Data Scientists, ML Engineers, Product Managers, and executive stakeholders to deliver large scale automotive and energy solutions.
- Implemented GitOps driven CI CD pipelines supporting automotive software delivery for over 500 engineers across distributed product teams.
- Designed and operated Kubernetes platforms on Azure AKS. Improved deployment stability and reduced rollback events by 70 percent.
- Implemented observability and monitoring stacks using Prometheus, Grafana, and Azure Monitor. Achieved 99.9 percent service availability targets.
Alexander V.
Last position:
Senior Cloud & Kubernetes Architect at A.S.E. | Business Solutions for Construction
- Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
- Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
- Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
- Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.
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
Bruno M.
Last position:
Enterprise Architect at Hornbach
- Lead enterprise architecture, data and AI strategy initiatives across business domains, value streams, SAP, cloud, integration, process intelligence and governance, aligning transformation roadmaps with strategic business outcomes.
- Define enterprise data and knowledge strategy across business domains and enterprise taxonomy, including knowledge graph, data governance with focus on ownership, metadata frameworks, business glossaries, data product orientation, interoperability and AI-enabling architecture.
- Shape AI governance and decision-intelligence strategy using autonomous enterprise concepts, including policies, guardrails, reference architectures and knowledge-based patterns for responsible AI adoption and enterprise knowledge reuse.
- Support SAP S/4HANA cloud migration strategy and evaluate the future SAP ecosystem, including SAP BTP, Integration Suite, Business Data Cloud, SAP Analytics Cloud and Datasphere.
- Drive architecture debt management, portfolio transparency and application rationalization through architecture principles, governance models, decision frameworks and LeanIX-based Enterprise Architecture Management.
- Align business architecture and process intelligence using Signavio to connect value chains, capabilities, processes, data strategy, knowledge flows and transformation roadmaps.
- Define operating models for data governance, architecture governance, cloud, integration, API management, AI governance and knowledge sharing.
- Act as trusted advisor to executive stakeholders and business domain leaders across product, sales, finance, logistics, customer care and shared services.
Michael P.
Last position:
Independent IT Consultant at Vamico GmbH
- Provided targeted consulting and support on IT delivery and integration topics.
- Designed, implemented and operated own software products (Rendita, vailuate) independently: requirements, architecture, testing, releases and ongoing development, implemented with AI support.
- Ongoing learning in AI, mainly through hands-on work with LLMs: API integration, agentic workflows with automated evaluation, Model Context Protocol; supported academically through the MSc study program in AI Transformation.
Kevin F.
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Bernhard K.
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
Hardeep B.
Last position:
Sr. Data Engineer at Charles Schwab Bank
- Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
- Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
- Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
- Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
- Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
- Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
- Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
- Created and maintained dashboards in Power BI to provide actionable insights.
Rene S.
Last position:
Head of Digital Services & IT at reet systems gmbh / THEOPHIL Holding GmbH
- Overall responsibility for IT, software development, and digital services of the company for brands such as Rosenberger, Rosehill, Burger King Austria (approx. 70 companies)
- Built the holding's lakehouse and data analytics platform
- Established and led the software development and IT department
- Established and led the operation (cloud-native AWS) of the B2B platform
- Connected IoT systems and developed models for predictive maintenance and production planning, data lake/lakehouse, and BI
- Preparation for ISO 27001 information security certification
- Technologies: Cloud, AWS, Java, Cypress, Angular, Python, Go
Discover over 15,000 top freelancers
AWS Certified Solutions Architect – Associate statistics
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.2 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
89%
Master's degree or higher
49%
Doctorate
7%
Certifications per freelancer
8
Most common languages
English, German, Russian
Speak two or more languages
95%
Based on our profile pool as of 11 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts holding this certification 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 for AWS Certified Solutions Architect – Associate
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 11 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS Certified Solutions Architect – Associate 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 (93%)
- Banking and Finance (52%)
- Professional Services (34%)
- Retail (33%)
- Automotive (30%)
- Healthcare (27%)
- Transportation (27%)
- Manufacturing (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the certification
What it validates
AWS Certified Solutions Architect – Associate shows that a professional can design practical cloud solutions on AWS. It focuses on turning business needs into workable architectures that are secure, resilient, and easy to operate. For companies, it is a strong signal that the freelancer can think beyond one service and build for the full system.
Core skills
- Designing workloads with the right mix of compute, storage, database, and networking services
- Building secure access with IAM, encryption, and least-privilege design
- Improving reliability with multi-AZ patterns, backups, and recovery planning
- Balancing cost, performance, and operational effort when choosing AWS services
- Translating application needs into scalable cloud architectures
Typical profiles
People who hold this certification are often cloud architects, solution designers, DevOps-adjacent engineers, or experienced developers who work close to infrastructure. They usually join projects where an existing system is being moved to AWS, a new cloud platform is being designed, or an application needs a safer and more scalable setup. The credential helps show that they can speak both technical and business language.
What AWS knowledge it covers
The AWS Certified Solutions Architect – Associate level is centered on day-to-day architecture choices rather than deep specialist tuning. It usually includes services and concepts such as:
- Virtual networking, routing, and connectivity
- Identity and access control
- Object storage, block storage, and backup patterns
- Managed databases and application integration
- Monitoring, logging, and basic governance
Why companies look for it
A freelancer with this certification is useful when you need confidence in the design, not just execution. They can review an architecture, spot weak points, and propose clearer trade-offs before work starts. In remote teams, this is especially valuable because the credential gives a common baseline for cloud design discussions.
When it matters most
This certification matters in migrations, platform redesigns, startup infrastructure setup, and modernization work for established products. It is also relevant for companies in regulated or security-sensitive environments that need well-structured AWS foundations from the start. If you need an AWS Certified Solutions Architect – Associate freelancer, you are usually looking for someone who can shape a dependable cloud blueprint and explain it clearly.
Frequently asked questions
Quick answers to the questions that come up most around AWS Certified Solutions Architect – Associate.
AWS Certified Solutions Architect – Associate proves that a professional can design AWS-based systems with security, resilience, and cost awareness in mind. It is not just about using individual services. It shows they can choose and combine services for a real workload.
AWS Certified Solutions Architect – Associate is aimed at practical architecture decisions and broad AWS design knowledge. The Professional level goes deeper and expects more experience with complex, large-scale, and cross-domain architecture choices. For many company projects, the Associate level is the better fit when you need strong hands-on design support.
AWS Certified Solutions Architect – Associate is a good fit for freelancers who design cloud systems, support migrations, or advise on AWS best practices. It is especially useful for architects, senior engineers, and consultants who need to turn requirements into a workable cloud setup. It can also suit developers who work closely with infrastructure.
A freelancer with AWS Certified Solutions Architect – Associate can help with cloud landing zones, application migrations, platform redesigns, and architecture reviews. They are also useful when a team needs help choosing between managed AWS services and custom-built components. The certification signals broad design judgment, not only service familiarity.
AWS Certified Solutions Architect – Associate is strongly oriented toward applied design decisions. It tests whether someone can pick suitable AWS services, account for security and reliability, and weigh trade-offs under real-world constraints. Someone preparing for it usually needs both study and hands-on AWS experience.
There are no formal prerequisites for AWS Certified Solutions Architect – Associate. In practice, people usually prepare by working with AWS, studying core services, and practicing architecture scenarios. For freelancers, real project experience matters because the exam rewards judgment, not memorization alone.
AWS Certified Solutions Architect – Associate must be kept current through AWS recertification rules. AWS updates certification expectations over time, so holders need to stay aligned with the latest exam and service changes. For companies, this means it is worth checking that a candidate’s credential is still active and current.
AWS Certified Solutions Architect – Associate matters most in cloud migration, platform engineering, product modernization, and infrastructure design. It is valuable in industries that care about security, uptime, and clear architecture decisions, such as finance, software, healthcare, and online services. It is also useful when teams work remotely and need a shared AWS baseline.
The average hourly rate for freelancers with AWS Certified Solutions Architect – Associate is 101 €, which corresponds to a daily rate of about 808 € based on an 8-hour working day.
Of the freelancers with AWS Certified Solutions Architect – Associate, 89% hold at least a Bachelor's degree, 49% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers with AWS Certified Solutions Architect – Associate have 18 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers with AWS Certified Solutions Architect – Associate are English (98%), German (97%), and Russian (17%).
The most common industries among freelancers with AWS Certified Solutions Architect – Associate are Information Technology (93%), Banking and Finance (52%), and Professional Services (34%).
The most common business areas among freelancers with AWS Certified Solutions Architect – Associate are Information Technology (100%), Product Development (74%), and Operations (55%).
FRATCH AWS Certified Solutions Architect – Associate main locations
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich 
Frankfurt In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
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