Google Cloud Pub/Sub Experts in Berlin
in minutes from 15,000 CVs with vetted specialists and precise AI matching.Hire experts who design event-driven flows, tune Pub/Sub topics and subscriptions, and connect Google Cloud services into reliable message pipelines. FRATCH matches you fast with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Google Cloud Pub/Sub
Haseeb Z.
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Ibrahim H.
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Mohamed K.
Last position:
Interim Senior Camunda & BPMN Consultant, Spring Boot & Java Backend Developer at GEMA/IT4IPM GmbH
- Subject matter expert for the client on modeling and developing Camunda BPMN 2.0
- Development of new features and APIs, and coordination of tasks
- Design and development of RESTful APIs with Swagger (code first)
- Creation of target designs, high-level concepts, and requirement specifications
- Analysis and evaluation of alternative solution approaches
- Integration of external IT systems (ANUBIS, SES, ZPS) via Google GCP Pub/Sub and RESTful web services
- Pair programming, code reviews, and collaboration with API product owners
- Consulting on transforming legacy BPMN workflows and configuring Camunda BPM
- BPMN and DMN modeling and implementation in short iterations
- Operational support, bug fixing, and knowledge documentation
- Use of TDD, static code analysis with SonarQube, and integration tests
- Automation of test cases in Java and analysis of stack traces/logs on GCP-PROD
- Identification and execution of test data and documentation of test results
Edoardo P.
Last position:
Lead Backend Developer at Aware
Led backend engineering across core domains (main backend, notifications, medical knowledge base, results processing), owning delivery quality, team growth, and engineering standards.
Signature Outcomes
Shipped a flexible, no-code membership platform (pricing, packages, duration), enabling commercial changes without engineering involvement and keeping membership tiers coherent over time.
Built a high-impact backend team through mentorship, coaching engineers into independent contributors and establishing onboarding documentation that enabled fast ramp-up.
Scaled the team from 2 → 5 engineers while maintaining delivery cadence and code quality; owned hiring pipelines and onboarding.
Partnered closely with Product during design to assess feasibility, sequence work, and make pragmatic trade-offs between speed, tech debt, and long-term maintainability.
Institutionalized testing and simplicity as defaults, enforcing high test coverage and a “simple-first” architecture approach.
Tech & Practices
Stack: Node.js (TypeScript), Express, PostgreSQL; microservices (Node & Go); event-driven async jobs.
Practices: Testing as a release gate, lightweight design reviews, iterative delivery, documentation-driven onboarding.
Compliance & Security: Led implementation of Privacy Officer recommendations (GDPR and German healthcare regulations).
Smit K.
Last position:
Software Engineer (Backend & API Lead) at Surpeats
- Backend & API architecture: Independently architected a scalable Node.js backend and RESTful API to handle a high volume of transactions, ensuring robust data management for users, restaurants, and administrators.
- Microservices & infrastructure: Engineered a sophisticated database architecture using PostgreSQL with geographic query optimization. Designed and deployed a robust infrastructure with three separate microservice servers and a database server.
- Performance & scalability: Implemented Redis caching and performed SQL query optimization to improve application performance and reduce load on the database, enhancing responsiveness for real-time services.
- Security & authentication: Integrated secure payment processing via Razorpay and implemented robust middleware for JWT authentication to ensure secure transactions and data integrity.
- CI/CD & deployment: Established a robust CI/CD pipeline using Docker and GitHub Actions for automated and reliable deployment, showcasing fluency in modern DevOps practices.
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Pub/Sub
Aggregated from the professional profiles of matched freelancers.
Experience
11 years
Position duration
1.5 years
Positions per freelancer
9
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Healthcare, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
80%
Certifications per freelancer
2
Most common languages
English, German, Arabic
Speak two or more languages
60%
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 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 Google Cloud Pub/Sub
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.
Google Cloud Pub/Sub 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%)
- Healthcare (60%)
- Automotive (40%)
- Banking and Finance (40%)
- Manufacturing (40%)
- Media and Entertainment (40%)
- Advertising (20%)
- Agriculture (20%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Message streaming
Google Cloud Pub/Sub is Google’s managed messaging service for event-driven systems. Teams use it to move data between services, trigger workflows, and decouple producers from consumers. It fits systems that need durable delivery without managing broker infrastructure.
Common use cases
- Service-to-service event delivery
- Audit, clickstream, and IoT event ingestion
- Workflow triggers and background processing
- Fan-out to multiple subscribers
Core ecosystem
Strong specialists work with Pub/Sub topics, subscriptions, push and pull delivery, dead-letter topics, and message ordering where needed. They also know how it connects with Cloud Functions, Cloud Run, Dataflow, BigQuery, and monitoring tools. In Berlin, that matters for product teams that run distributed systems across cloud-native services.
What good specialists do
A strong Pub/Sub expert thinks about payload design, retry behavior, idempotency, backpressure, and delivery guarantees. They prevent duplicate processing, reduce message loss, and keep consumers easy to operate. They also document the contract between services so teams can change them safely.
When freelancers help
Companies bring in freelance experts when message flows start failing, consumer lag grows, or a migration to GCP needs a safer design. They also help when teams need a new event architecture, a clean integration between systems, or review of an existing Google Pub/Sub setup. Remote work is common, but Berlin teams often want overlap for workshops and handover.
Skills that matter
Good professionals combine cloud architecture, distributed systems, and practical coding in the languages used by the service team. They understand observability, security, IAM, schema handling, and delivery trade-offs. The best people leave behind clear topic structures, stable subscribers, and operations that the team can run confidently.
Frequently asked questions
What clients ask us most about Google Cloud Pub/Sub — answered in short.
Google Cloud Pub/Sub is used to move events between services without tight coupling. Teams rely on it for background jobs, integration pipelines, audit streams, and fan-out to multiple consumers. It is a fit when systems must react quickly but should not depend on direct service-to-service calls.
Pub/Sub is a managed cloud messaging service, so teams do not run brokers themselves. Kafka is often chosen for large streaming platforms with stronger control over replay and storage patterns, while RabbitMQ is common for queue-based routing and simpler broker setups. The right choice depends on throughput needs, operational ownership, and how the application consumes messages.
A strong Google Cloud Pub/Sub specialist usually knows Cloud Run, Cloud Functions, Dataflow, BigQuery, IAM, and observability tools. They should also understand idempotency, retries, dead-letter handling, and message schema design. If the service team writes in Java, Python, Go, or Node.js, that practical coding experience helps a lot.
A small integration can be handled by one solid Pub/Sub specialist if the flow is simple and the consumer logic is clear. Larger systems need someone who can shape topic design, delivery rules, and failure handling across several services. The real test is whether the person has already dealt with duplicates, retries, and operational visibility.
Yes, most Google Cloud Pub/Sub work can be done remotely because the main tasks are design, implementation, and review. Berlin teams often only need on-site time for workshops, security reviews, or launch support. Clear communication matters more than location, especially when the system spans several services.
Look for someone who can explain why they chose a topic structure, a subscription mode, and a retry strategy. A strong Google Cloud Pub/Sub professional will talk about message ordering, duplicate delivery, dead-letter topics, and monitoring without hand-waving. Good answers are concrete, based on trade-offs, and tied to your system, not generic cloud talk.
One common mistake with Google Cloud Pub/Sub is treating delivery as exactly once when the consuming service is not built for duplicates. Other problems include oversized messages, poor retry handling, weak observability, and unclear ownership between publishers and subscribers. These issues create hidden failures that are hard to trace later.
Ask which systems they integrated, how they handled failure cases, and how they monitor message health. For Pub/Sub, also ask how they design consumers for idempotency and what they do when downstream services slow down. If your team works in Berlin, ask how they handle workshops, language expectations, and handover across local and remote collaborators.
The average hourly rate of freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects is 83 €, which corresponds to a daily rate of about 663 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are English (80%), German (60%), and Arabic (20%).
The most common industries among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are Information Technology (100%), Healthcare (60%), and Automotive (40%).
The most common business areas among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (100%).
Main locations of FRATCH Experts, who have recently used Google Cloud Pub/Sub
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.
Countries:
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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