Amazon Route 53 Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Amazon Route 53
Kiriakos Krastillis
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
maturing their API Practices on both, a Business and Technology level. My role encompasses strategy, architecture, developer advocacy as well as hands on software engineering, enabling both technical teams and business leadership to adopt and act on API- centric principles effectively. Coincidentally, we also establish GitOps, DX and Platform Best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, react, nodejs, typescript, redocly, reactive programming, CDC, golang, gingonic, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Khaled Massad
Last position:
Principal Cloud Solutions Architect II at Schrödinger GmbH
- Understand the customer’s business & technical requirements and translate them into system / technical requirements
- Design and implement Schrodinger’s applications on cloud systems, and experience convincing senior management and senior technical staff of the benefits of their journey with Schrodinger on the cloud
- Provide exceptional technical design and thought leadership, especially around AWS, GCP, and K8s architecture reviews, performance, high availability, cost, and security
- Deep understanding of the Well-Architected pillars and all best practices for building a secure, performant Schrodinger’s applications on the cloud platforms
- Lead technical workshops and advise customers on architectural and strategic IT decisions
- Ensure success in designing, building and migrating applications, software, and services on the cloud platforms
- Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud
- Work with other team members to ensure quality and customer success
- Define the tickets, tasks, and timelines of projects
- Collaborate with account managers to ensure that the projects are executed according to the defined plan and timeline
- Monitor the progress of the projects, identify risks and issues, and take proactive measures to mitigate them
- Lead and inspire cloud architect teams, provide guidance, and make critical decisions
- Facilitate effective communication and collaboration among team members
- Collaborate with Schrodinger’s managers to improve deployment, support, and configuration of Schrodinger’s applications
- Lead weekly standups and define priorities
Markus Steffen
Last position:
Fullstack-Developer at VRM Digital / RYZE
- Development and maintenance of a news portal CMS with interfaces.
- PHP development with HTML, CSS, SCSS, JavaScript, MySQL, Laravel, documentation of the interfaces and the system.
- Further development of the SSO system based on Laravel with a large API and connections to AWS, SAP, ERPS.
- Reorganisation and development of the news portals on the basis of a publish platform, services and interfaces to Google, Facebook, Twitter, SSO, SAP technical based on NodeJS with TypeScript and AWS.
- Technologies: PHP, Laravel, MySQL, JavaScript, Vue.js, NodeJS, TypeScript, jQuery, CSS, SCSS, SASS, Unix, Jira, Confluence, Git, Apache, Nginx, AWS.
Thomas Hoefkens
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Philipp Dölker
Last position:
IT Architect & IT Product Manager at Dr. Ing. h.c. F. Porsche AG
- Optimization of software lifecycle processes for SAP platform apps (BTP CAP)
- Development of template MCP servers for S/4 CALM systems of Porsche AI (BTP)
- Design, development, and IT product management for two MS CoPilot custom agents supporting SAP systems (incl. MCP integration)
- Lead Center of Practice: AI-assisted ABAP development
- Initiation and coordination of the proof of concept implementation of conduct.ai
- Advising application teams on software and integration architecture, clean core principles and implementation, as well as AI use on the SAP platform
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Robin Sadlo
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Manuel Engelhardt
Last position:
External Technical Lead for CI/CD, Architecture & Technical Governance at Insurance
- Technical lead for CI/CD modernization in the "Group Archive 4.0" system
- Architecture and steering responsibility according to the statement of work
- Setting up modern build and deployment processes
- CI/CD coaching and enablement of the internal development team
- Integration of modern DevOps, security, and compliance standards
- Ensuring technical governance, including collaboration with internal audit and BaFin
- Independently executing the modernization measures
- Supporting the team in adopting new technologies and methods
Niels Majer
Last position:
Senior Software Developer / Cloud Architect at Biesterfeld SE
- Architected ETL services for event-driven data exchange between enterprise systems on a Kafka streaming backbone.
- Optimized CI/CD pipelines for Azure AKS deployments and improved OpenSearch monitoring and alerting for proactive incident detection.
Tech: Java / Kotlin, Quarkus, Kafka / Avro, Azure / AKS, Azure Storage Container, ArgoCD, GitLab CI, OpenSearch, Terraform
Manish Kumar Jaiswal
Last position:
Freelance Senior Solutions Architect at YoungIT
- Worked with a UK based organisation offering a range of free sexual health services such as STI testing, treatment and contraception across the UK
- Created a Liferay DXP based customer facing portal (version 7.4) over Liferay Experience Cloud
- Designed and developed Liferay modules
- Managed Liferay Experience Cloud and release management
- Coordinated with different teams and helped other team members on Liferay challenges
- Engaged in discussions with business and stakeholders on expectations
- Implemented architectural best practices
Jorge Pérez Suárez
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Benjamin Schaich
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Pierre Gronau
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
Stefan Linner
Last position:
Dashboard for Interactive Data Analysis at LennardtundBirner GmbH
Development & deployment of an interactive dashboard that allows users to select datasets for visual analysis.
The application supports filters, AI-based interpretations, and a chatbot for user interactions.
shiny, openai, mirai, plotly, mapgl, duckdb, AWS, ShinyProxy, Docker Swarm
Michael König
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Discover over 15,000 top freelancers
Statistics of experts using Amazon Route 53
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.4 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Retail
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
95%
Master's degree or higher
52%
Doctorate
5%
Certifications per freelancer
3
Most common languages
English, German, 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 Germany 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 Germany using Amazon Route 53
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
DNS that routes traffic well
Amazon Route 53 is AWS’s DNS service for directing users to the right endpoint with low friction. Teams use it for public domains, internal name resolution, and traffic steering across regions, load balancers, and failover targets.
What specialists set up
- Hosted zones for public and private DNS
- Record sets for A, AAAA, CNAME, MX, TXT, and alias targets
- Health checks and routing policies
- DNS failover for critical services
- Domain registration and transfer work
Where it fits in AWS
Route 53 is often wired into CloudFront, ELB, S3 website endpoints, ECS, EKS, and API gateways. Strong specialists understand how DNS behavior changes with TTLs, alias records, and multi-account AWS setups.
When companies bring in help
Companies usually look for freelance expertise when DNS must change safely, an old zone file needs cleanup, or a launch depends on clean cutover planning. It also helps when teams need private DNS for VPCs, hybrid connectivity, or clearer incident recovery steps.
What strong professionals know
They read zone files carefully, avoid record conflicts, and test propagation before a change goes live. They also understand routing policies such as weighted, latency-based, geolocation, and failover routing, plus the tradeoffs of alias records versus standard DNS targets.
Germany collaboration
In Germany, Route 53 work often happens with product teams, cloud operations, and security specialists spread across locations. Remote collaboration is common, but clear documentation matters when DNS changes affect customer-facing services and internal systems at the same time.
Frequently asked questions
Before you brief your next project: the most common questions about Amazon Route 53.
Amazon Route 53 is AWS’s DNS service for routing users to the right application, load balancer, or static site. Teams also use it for domain registration, private DNS, and health-based failover. It sits at the edge of many AWS setups, so small configuration mistakes can affect a lot of traffic.
Route 53 adds AWS-native routing, health checks, and alias targets that many generic DNS providers do not handle in the same way. It is especially useful when the destination is an AWS resource such as CloudFront or an Elastic Load Balancer. For simple records, it behaves like DNS; for complex traffic control, it goes further.
A strong Route 53 specialist is useful when you need a safe DNS migration, multi-region failover, or a private hosted zone for internal services. They also help when a team has inherited messy records or unclear TTL settings. If DNS supports customer-facing systems, bringing in help early avoids painful cutovers.
A good Amazon Route 53 professional usually knows AWS networking, VPCs, IAM, and common deployment flows around CloudFront, EC2, EKS, or ECS. They should also be comfortable reading zone files and validating how traffic resolves across environments. Security awareness matters too, especially for TXT records, domain transfers, and private DNS.
A simple AWS Route 53 record update can be handled by someone with solid AWS basics and careful attention to detail. More complex work, such as weighted routing, failover testing, or hybrid DNS design, calls for deeper experience. The real test is not years on a profile, but whether the person has managed live DNS changes without disruption.
Most Route 53 work can be done remotely because the key tasks are configuration, review, and testing. On-site time only matters when a company wants close coordination with network, security, or release teams during a sensitive change window. For Germany-based teams, remote delivery is common as long as communication is precise.
A good Amazon Route 53 freelancer explains the record plan before touching production and can describe rollback steps clearly. They should know why a choice was made, not just copy settings between zones. Look for careful testing, clean documentation, and a practical understanding of TTL, health checks, and routing policies.
Route 53 is often compared with managed DNS services from Cloudflare, Google Cloud DNS, or traditional registrar DNS. The right choice depends on whether you want tight AWS integration, simple zone hosting, or broader edge and security features. If your workload lives in AWS, Route 53 is usually the most direct fit.
The average hourly rate of freelancers in Germany who have used Amazon Route 53 in their recent projects is 106 €, which corresponds to a daily rate of about 845 € based on an 8-hour working day.
Of the freelancers in Germany who have used Amazon Route 53 in their recent projects, 95% hold at least a Bachelor's degree, 52% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used Amazon Route 53 in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Amazon Route 53 in their recent projects are English (100%), German (97%), and French (24%).
The most common industries among freelancers in Germany who have used Amazon Route 53 in their recent projects are Information Technology (97%), Automotive (48%), and Retail (45%).
The most common business areas among freelancers in Germany who have used Amazon Route 53 in their recent projects are Information Technology (100%), Product Development (86%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Amazon Route 53
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
