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Amazon SQS Experts in Berlin

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Work with specialists who decouple distributed microservices, configure high-throughput dead-letter queues, and build resilient event-driven pipelines on AWS, matched quickly and accurately through vetted freelancer profiles.

Meet FRATCH Experts in Berlin, who have recently used Amazon SQS

Verified expert

Jorge P.

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Software Engineer – AWS and Kubernetes Specialist

Berlin
Jorge P.

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
Verified expert

Santhosh K.

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Freelance Software Engineer

Berlin
Santhosh K.

Last position:

Freelance Software Engineer at Zalando SE

  • Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
  • Optimise k8s resources and integrate native Prometheus metrics with OPA
  • Migrate from internal monitoring solution to Prometheus CRs + Dash0

Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana

Verified expert

Muzamal A.

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Data Scientist | AI Engineer

Berlin
Muzamal A.

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.
Verified expert

Daniel M.

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Founding Database Engineer

Berlin
Daniel M.

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

Verified expert

Daniel B.

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Senior Cloud Consultant and Developer

Berlin
Daniel B.

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 Umweltbundesamt 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
Verified expert

Qaiser A.

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Freelance Lead DevOps Engineer

Berlin
Qaiser A.

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

Verified expert

Fady K.

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Senior Software Developer / Tech Lead

Berlin
Fady K.

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
Verified expert

Kalpesh P.

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Intern Java Developer

Berlin
Kalpesh P.

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
Verified expert

Khaled M.

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Senior/Staff Backend Engineer

Berlin
Khaled M.

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.
Verified expert

Mohamed R.

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Software Engineer

Berlin
Mohamed R.

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.
Verified expert

Recep C.

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Sr. Software Engineer

Berlin
Recep C.

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
Verified expert

Kim K.

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Lead Fullstack Node/React Developer

Berlin
Kim K.

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
Verified expert

Luca D.

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CTO & Co-Founder

Berlin
Luca D.

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
Verified expert

Dirk U.

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Java Be Developer

Schönwalde-Glien
Dirk U.

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)

Amazon SQS experts in Berlin have 16 years of professional experience on average. It is 3 years less than in Germany, where the average stands at 19 years.

Position duration

1.8 years (Germany: 1.9 years)

Amazon SQS experts in Berlin stay in a single position for 1.8 years on average. It is 0.1 years less than in Germany, where the average stands at 1.9 years.

Positions per freelancer

10 (Germany: 14)

Amazon SQS experts in Berlin have completed 10 positions on average over the course of their careers. It is 4 fewer than in Germany, where the average stands at 14.

Top business areas

Information Technology, Product Development, Quality Assurance

Amazon SQS experts in Berlin have gathered most of their hands-on project experience in Information Technology, Product Development, and Quality Assurance.

Top industries

Information Technology, Banking and Finance, Media and Entertainment

Amazon SQS experts in Berlin are most in demand in Information Technology, Banking and Finance, and Media and Entertainment.

Certification focus areas

Information Technology, Product Development, Business Intelligence

Amazon SQS experts in Berlin earn their certifications most often in Information Technology, Product Development, and Business Intelligence.

Bachelor's degree or higher

100% (Germany: 87%)

100% of Amazon SQS experts in Berlin hold at least a Bachelor's degree. It is 13% higher than in Germany, where the rate stands at 87%.

Master's degree or higher

33% (Germany: 54%)

33% of Amazon SQS experts in Berlin hold at least a Master's degree. It is 21% lower than in Germany, where the rate stands at 54%.

Certifications per freelancer

2 (Germany: 3)

Amazon SQS experts in Berlin hold 2 professional certifications on average. It is 1 fewer than in Germany, where the average stands at 3.

Most common languages

English, German, Arabic

Amazon SQS experts in Berlin most often speak English, German, and Arabic.

Speak two or more languages

89% (Germany: 95%)

89% of Amazon SQS experts in Berlin speak two or more languages. It is 6% lower than in Germany, where the rate stands at 95%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 2 4 6 8
One of the Amazon SQS experts in Berlin charges less than €320 per day.
One of the Amazon SQS experts in Berlin charges between €320 and €480 per day.
2 of the Amazon SQS experts in Berlin charge between €480 and €640 per day.
6 of the Amazon SQS experts in Berlin charge between €640 and €800 per day.
4 of the Amazon SQS experts in Berlin charge between €800 and €960 per day.
One of the Amazon SQS experts in Berlin charges between €960 and €1120 per day.
One of the Amazon SQS experts in Berlin charges €1120 or more per day.
<€320 €320-​480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

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.

1000
750
500
250
Rate comparison chart
Daily rate avg. 718 €
Germany avg. 769 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 740 €
Germany median 800 €

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 SQS 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 (44%)
  • Media and Entertainment (44%)
  • Retail (44%)
  • Automotive (39%)
  • Education (33%)
  • Professional Services (28%)
  • Telecommunication (28%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Decoupled messaging for modern cloud backends

Amazon Simple Queue Service provides fully managed message queuing for microservices, serverless systems, and distributed architectures. Specialists utilize standard and FIFO queues to decouple producers from consumers, eliminate message loss during traffic spikes, and maintain fault-tolerant communication across asynchronous backend systems.

Core infrastructure and integration patterns

  • Configuring AWS SQS dead-letter queues to catch failed invocations and prevent message poisoning
  • Connecting Amazon EventBridge and SNS topics to queue endpoints for fan-out patterns
  • Integrating AWS Lambda triggers with batch processing to minimize execution overhead
  • Tuning visibility timeouts and retention periods to avoid duplicate processing cycles

Practical use cases in modern tech hubs

Fast-moving product companies across Berlin use Amazon SQS to power order workflows, data ingestion jobs, and payment settlement pipelines. Cloud specialists design queues that smoothly buffer bursts of user activity, ensuring reliable handoffs between client-facing APIs and internal background workers.

Ecosystem tooling and operational skills

Deploying queue architectures requires fluency with infrastructure as code tools like Terraform and AWS CDK. Strong professionals configure CloudWatch alarms, fine-tune IAM access policies, manage KMS encryption keys, and implement SDK client libraries across Go, TypeScript, Python, or Java.

Indicators your team needs queue specialists

  • Services experience cascading timeouts under unpredictable workloads
  • Unprocessed transactions vanish during worker failures without trace
  • Monolith decomposition stalls due to tightly coupled synchronous HTTP requests
  • Infrastructure costs escalate from unoptimized queue polling and Lambda cold starts

Hallmarks of high-level queue engineering

Vetted specialists understand the trade-offs between standard queues and strict FIFO ordering. They architect idempotent consumers capable of handling at-least-once delivery, design efficient backoff mechanisms, and write clean operational runbooks that simplify incident response for engineering teams.

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Frequently asked questions

Not sure where to start with Amazon SQS? These answers cover the essentials.

Amazon SQS serves as a hosted message queue that separates software components, allowing services to exchange data asynchronously. Teams rely on it to smooth out unpredictable traffic spikes, prevent system bottlenecks, and ensure no data drops when downstream dependencies go offline.

Standard queues in Amazon Simple Queue Service provide nearly unlimited throughput and at-least-once delivery, though message order is not guaranteed. When exact ordering and exactly-once processing are mandatory for business logic, specialists implement FIFO queues instead.

Unlike self-managed message brokers, AWS SQS requires zero infrastructure maintenance, server patching, or manual clustering. While Kafka excels at complex stream processing and event replay, managed queues provide a leaner solution for task distribution and transient messaging.

A proficient specialist working with Amazon SQS typically commands adjacent services like AWS Lambda, DynamoDB, SNS, and CloudWatch. Strong proficiency in infrastructure as code platforms such as Terraform or the AWS Cloud Development Kit is equally critical for repeatable deployments.

Because standard SQS queues use at-least-once delivery, experienced professionals design consumers to be strictly idempotent. They implement unique idempotency tokens, manage message visibility windows carefully, and route persistent errors into configured dead-letter queues.

Yes, Berlin-based engineering groups frequently adopt hybrid or remote models for cloud modernization projects. Freelance experts working with Amazon SQS integrate directly into sprint routines via modern communication tools, while on-site collaboration remains an option for design spikes.

Most engineering teams in Berlin run their daily technical workflows and documentation in English. When companies manage infrastructure with Amazon SQS, fluent English is usually standard, while German proficiency offers an added advantage for local enterprise initiatives.

Look for candidates who can articulate the nuances of long polling, backpressure handling, and consumer concurrency. A reliable AWS SQS professional will demonstrate past success handling poison pill messages, reducing latency, and designing fault-tolerant distributed workloads.

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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