Amazon SQS Experts in Berlin
in minutes from over 15,000 CVs with the power of AI.Hire experts who design reliable queues, tune message processing, and build event-driven flows with Amazon SQS, AWS SQS, and Simple Queue Service. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Amazon SQS
Rüdiger Schulz
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Muzamal Ali
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
Daniel Martinez Maqueda
Last position:
Founding Database Engineer at tonbo.io
Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability
Introduced object scope cache to the remote storage layer to avoid I/O churn
Working on refactoring WAL to support remote storage
Taking care of the health of the systems as well as designing the operational story and bringing them to production
Technologies: LSM, WAL, Arrow, Parquet, Rust
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile 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
Fady Kuzman
Last position:
Senior Software Developer / Tech Lead at Specific Objects Technologies GmbH
- Project 1: Multi-Tenant SaaS Platform: Data Integration & Pricing Management
- Objective: New development of ELT pipeline (replacement for Java 6 legacy), integration of heterogeneous source systems (CSV, Excel, Email, external DBs), event-sourcing for complete auditability, multi-tenant architecture for tenant-capable data processing
- Challenge: Processing millions of records daily, audit compliance, data isolation between different tenants
- Solution: Stakeholder workshops for requirements analysis, event-driven architecture with Axon Framework and Apache Kafka, AWS services (EC2, S3, Lambda, SQS, API Gateway) for cloud integration, PostgreSQL with tenant-specific schemas for multi-tenant data isolation, REST API design with Spring Boot for external system integrations, comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit)
- Results: ELT performance improved from 30+ min to 1-5 min; 2-3 hours daily saved through workflow automation; 10-20 hours/week saved through event-sourcing auditability; 100% audit compliance; secure multi-tenant data isolation for 10+ tenants
- Project 2: Multi-tenant CRM System Modernization
- Objective: Migration of CRM system (20+ years PHP/MySQL) to Java microservices, Domain-Driven Design implementation, establishment of Test-Driven Development, multi-tenant-capable SaaS architecture for multiple customer tenants
- Challenge: Remodeling complex business logic, no existing test culture, scalable tenant management with data isolation
- Solution: Comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit), multi-tenant architecture with tenant-specific databases, REST API design with Spring Boot for cross-tenant integration, Kubernetes and Docker for container orchestration
- Results: 2× performance improvement; deployment time reduced from 40+ min to 5-7 min; migration without production outages; scalable multi-tenant solution for 15+ customer tenants
- Technologies: Java, Spring Boot 3.x, Angular, Apache Kafka, AWS (EC2, S3, Lambda, SQS, API Gateway), PostgreSQL, Axon Framework, Kubernetes, Docker, GitLab CI, REST API
Daniel Boesswetter
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Federal Environment Agency with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Kalpesh Patil
Last position:
Intern Java Developer at Unzer GmbH
- Developed a Proof of Concept for distributed tracing using OpenTelemetry within a microservices architecture, enhancing system observability and reducing mean-time-to-resolution for issues.
- Built and maintained backend services using Java and Spring Boot, ensuring high reliability and performance for payment transaction workflows.
- Implemented comprehensive automated testing with JUnit and Mockito, achieving 95% test coverage to ensure code quality and maintainability.
- Gained insight into payment transaction workflows, validating end-to-end system reliability and gaining domain knowledge in financial processes.
- Tech used: Java, Spring Boot, Microservices, REST API, Kafka, Grafana, Datadog, Docker, MongoDB
Khaled Mohamed
Last position:
Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)
- Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
- Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
- Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
- Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
- Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
- Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
- Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
Mohamed Rwash
Last position:
Software Engineer at Clark
- Led the implementation of a critical backend initiative for the offer teasing feature, resulting in a 10% increase in users actively seeking counter offers.
- Contributed to high-impact features such as instant advice, customer ratings, and automatic contract switching, leading to increased user engagement and conversion rates.
- Built a gRPC service to integrate internal systems with the ERP platform, improving the reliability and observability of data exchange.
- Refactored parts of the legacy Ruby codebase into a more maintainable and scalable Elixir-based architecture.
- Delivered a greenfield project from concept to production on a new stack, integrating with internal services and managing infrastructure setup and deployment.
- Collaborated closely with the front-end team, product managers, and cross-functional team members to ensure the seamless integration of backend features, fostering effective communication and collaboration across disciplines.
- Stack: Ruby, Ruby on Rails, Elixir, OTP, Phoenix, REST, GraphQL, gRPC, PostgreSQL, AWS, Cognito, Lambda, SNS, SQS, Terraform, Helm, Docker, CI/CD, Grafana, Prometheus, Git, Agile Methodology.
Recep Can
Last position:
Sr. Software Engineer at Endava
- Designed and deployed scalable REST APIs for enterprise clients
- Led migration of legacy systems to modern maintainable system, reducing deployment time and enabling daily deployments
- Mentored junior developers and collaborated cross-functionally to align technical roadmaps with business goals, improving team velocity by 50%.
- Tech Stack: PHP (Symfony), Golang, PostgreSQL, MySQL, GCP, Terraform, Kubernetes
Kim Kern
Last position:
Lead Fullstack Node/React Developer at Rytle
- Development of React.js / Next.js web application, displaying live sensor data and optimized routes on interactive maps.
- Architected and managed Node.js backend services in Docker containers integrated with Kafka, responsible for order management and routing.
- Guided and supported junior developers in their professional growth as team lead developer.
- Technologies: node.js, React, TypeScript, Postgres, Docker, Kafka, Github CI, ArgoCD
Luca Demmel
Last position:
CTO & Co-Founder at Lucent Data GmbH
- Built a warehouse native customer data platform from scratch
- Successfully onboarded the first customer
- Built the first engineering team of 3 engineers
- Raised 1M€ in venture capital
Dirk Ulrich
Last position:
Developer at Future Training & Consulting GmbH
Training course with exam for Spring Certified Professional.
- Environment: Spring Boot 3, Spring Framework 6, IntelliJ
Discover over 15,000 top freelancers
Statistics of experts using Amazon SQS
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 19 years)
Position duration
1.8 years (Germany: 1.9 years)
Positions per freelancer
10 (Germany: 14)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Media and Entertainment
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 87%)
Master's degree or higher
33% (Germany: 54%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, Arabic
Speak two or more languages
89% (Germany: 95%)
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 Berlin 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 Berlin using Amazon SQS
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
Queue basics
Amazon SQS is the managed message queue service from AWS, also known as AWS SQS or Simple Queue Service. It helps systems pass work safely between services without tight coupling. Companies use it to buffer traffic, decouple applications, and keep background jobs moving when load spikes.
Typical use cases
- Order and payment event handoff between services
- Background jobs, retries, and delayed processing
- Fan-out workflows with SNS and worker services
- Buffering peaks in web, data, and integration flows
It fits well when one system must absorb bursts and another should process at its own pace. Berlin teams often use it in product platforms, logistics, media, and B2B software where reliable async work matters.
Ecosystem and tooling
Strong professionals know how SQS fits with Lambda, SNS, EC2, ECS, EKS, and IAM. They understand queue types, visibility timeouts, dead-letter queues, and message attributes. They also know when to use long polling, batching, and server-side encryption.
What strong specialists do
A good specialist does more than send messages. They design message contracts, prevent duplicate processing, handle retries safely, and observe queue depth and age of messages. They also align consumer logic with downstream limits so work stays predictable.
When to bring in help
Bring in freelance expertise when a queue setup is slow, flaky, or hard to operate. It also helps when you are moving from synchronous calls to event-driven flows, splitting a monolith, or adding resilience to critical workflows. Short engagements work well for audits, refactors, and delivery support.
What to look for
- Real SQS designs with retry and failure handling
- Clear use of IAM, encryption, and least privilege
- Practical knowledge of consumers, workers, and event flow
- Experience with monitoring, alarms, and operational handover
For Berlin-based teams, remote collaboration is common, but on-site work can help during architecture workshops or incident recovery. The best professionals explain trade-offs clearly and keep the queue design simple enough to maintain.
Frequently asked questions
Not sure where to start with Amazon SQS? These answers cover the essentials.
Amazon SQS is used to move work between services without making them depend on each other in real time. Teams use it for background jobs, order flow, retry handling, and load smoothing when traffic is uneven. It is a strong fit when reliability matters more than immediate response.
SQS is a queue for one-message-to-one-consumer processing, while SNS is built for pub/sub fan-out. Kafka is better known as a streaming platform with retention and replay patterns that suit event logs and data pipelines. A good freelancer helps you choose the simpler tool that matches the job instead of forcing one pattern everywhere.
A strong Amazon SQS specialist should also know IAM, Lambda, SNS, DLQs, and basic observability. They need to understand how consumers scale, how retries behave, and how to keep message handling idempotent. In AWS-heavy systems, ECS, EKS, and cloud logging are often part of the same work.
A small queue setup can be handled by a freelancer who knows the service well and understands message flow. More complex work needs someone who has dealt with duplicate delivery, poison messages, and consumer bottlenecks. The harder the failure recovery, the more important hands-on delivery experience becomes.
If workers lag behind, messages keep failing, or retries create noise, Simple Queue Service may need a redesign. The same applies when teams are unsure about visibility timeouts, queue policies, or dead-letter handling. Outside help is useful when the queue is already in production and the risk of mistakes is high.
Yes, AWS SQS work is usually easy to do remotely because the core tasks are design, review, and integration. In Berlin, on-site time can still help for workshop-style architecture decisions, but it is rarely required for routine implementation. Clear communication and access to logs matter more than location.
Look for simple flows, clear message contracts, and safe failure handling in Amazon Simple Queue Service work. Quality also shows up in monitoring, alarms, and a clean approach to retries and dead-letter queues. If the specialist can explain why a message might be processed twice and how the system stays correct, that is a good sign.
A careful Amazon SQS freelancer should ask about message volume patterns, consumer limits, retry rules, and downstream dependencies. They should also check whether the queue is part of a larger AWS setup with SNS, Lambda, or container services. Good answers reveal how much design, repair, or migration work is really needed.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon SQS in their recent projects is 90 €, which corresponds to a daily rate of about 718 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon SQS in their recent projects, 100% hold at least a Bachelor's degree and 33% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Amazon SQS in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used Amazon SQS in their recent projects are English (94%), German (83%), and Arabic (11%).
The most common industries among freelancers in Berlin, Germany who have used Amazon SQS in their recent projects are Information Technology (100%), Banking and Finance (44%), and Media and Entertainment (44%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon SQS in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (56%).
Main locations of FRATCH Experts, who have recently used Amazon SQS
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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Philipp Thomaschewski
FRATCH CEO
