MongoDB Experts in Switzerland
for scalable data products, matched in minutes by AIHire experts who design document data models, build reliable aggregation pipelines and operate MongoDB Atlas environments. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Switzerland, who have recently used MongoDB
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Piotr S.
Last position:
CTO Program Manager, Theme Owner / Senior Project Manager at Avaloq Group AG
- Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
- Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
- Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
- Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
- Key responsibilities:
- Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
- Accountable for delivery of annual themes and quarterly key deliverables
- Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
- Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
- Hiring and managing resources in eight countries
- Running quarterly divisional closure meetings presenting achievements and challenges
- Resolving cross-team dependencies and internal/external conflicts
- Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
- Identifying and staffing key roles with chapter leads
- Approach: Agile, Scrum of Scrums, QBR/OKRs
- Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)
Ahmed R.
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Stefan H.
Last position:
Fullstack Development, Product Owner & Tech Lead at Trex AG
- Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
- Leading the development team as Product Owner and Tech Lead.
- Introducing agile processes, setting up development guidelines and system documentation.
- Planning and implementing features like video calls, live chat, and marketing automation.
- Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
- Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
- Industry: Veterinary medicine.
Jack S.
Last position:
Freelance - Fullstack Engineer at SMG Swiss Marketplace Group
- Supported the team in merging two real estate platforms into a unified Vue.js-based solution
- Developed a custom SSR microservice architecture deployed on AWS Lambdas
- Designed and implemented a map drawing feature
- Took ownership of migrating the microservice from Vue 2 to Vue 3
- Built a scalable SSR microservice architecture using AWS Lambda
- Developed and implemented a critical map drawing feature for real estate visualization
- Successfully migrated the microservice from Vue 2 to Vue 3
- Gained deep knowledge of AWS infrastructure, Datadog, Sentry, and Vite
- Technologies: Vue.js, Node.js, Vite, AWS Lambda, Datadog, Sentry, JavaScript
Matthias I.
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Alejandro A.
Last position:
AI Researcher & Engineer at Tufa Labs
- Deployed and optimized the inference stack on a multi-node DGX B200 cluster across vLLM and SGLang (serving, throughput and latency tuning).
- Built, with a small team, an internal Python library for LM pretraining covering the full training loop: distributed training with PyTorch FSDP, data pipelines, checkpointing, config and hyperparameter management, and experiment tracking.
- Built and evaluated agent scaffolds on interactive game benchmarks similar to ARC-AGI-3, with metrics for how models plan, explore and adapt across multi-step episodes; classified model errors and fed the findings back into scaffold and evaluation design.
- Researched looped transformer architectures.
Ned O.
Last position:
Tech Lead at R3leaf GmbH
- Autonomously drafted architecture and delivered production code at startup pace
- Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
- Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership
Karl E.
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Christoph J.
Last position:
Project management, Software engineering, Software architect, DevOps at Migros Genossenschafts Bund
- Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
- Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
- Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
- Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
- Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
- Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
- Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
- Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
- Ongoing project with continuous development of platforms and workflows.
Gergely G.
Last position:
Blazor Founder, Certified Points of You® Business Trainer, Full Stack ASP.NET Core Developer Employee Training at Resonance Solutions GmbH
Mateusz L.
Last position:
Project Lead Developer at PwC
- Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
- Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
- Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Lluis N.
Last position:
Federal Office for IT
- Developed an event tool for the Federal Department of Foreign Affairs ([link]
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.9 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
64%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
100%
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 Switzerland 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 Switzerland using MongoDB
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.
MongoDB 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 (79%)
- Professional Services (57%)
- Education (43%)
- Retail (43%)
- Healthcare (36%)
- Media and Entertainment (36%)
- Government and Administration (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a document-oriented database that stores records as flexible BSON documents rather than fixed rows and columns. It suits applications where data structures evolve, related information belongs together, or teams need to deliver new product features without constant schema migrations. MongoDB is also commonly described as a NoSQL or document database.
Product foundations
Collections, documents, indexes and aggregation pipelines form the core of MongoDB. Strong specialists understand data modelling, embedding versus referencing, query planning, transactions, replication and sharding. They also work with MongoDB Atlas, the managed cloud service, and can connect applications through official drivers or tools such as Mongoose.
Typical applications
- Customer, product and content data for web and mobile applications
- Event, telemetry and operational data that arrives in changing formats
- Catalogues, personalisation services and real-time user profiles
- Backend services that need flexible schemas and horizontal scaling
MongoDB can run in cloud, hybrid and self-managed environments. It supports workloads across retail, financial services, logistics, media, manufacturing and healthcare when the data model and operational controls fit the use case.
When expertise matters
- A relational schema is slowing product changes or creating excessive joins
- Queries become unpredictable as collections and traffic grow
- A migration to MongoDB Atlas needs careful planning and validation
- Replication, backup, access control or sharding requires an operating model
Freelance expertise is valuable during discovery, migration, performance work and production handover. For Switzerland-based teams, remote collaboration often works well, while workshops, regulated environments or multilingual stakeholder work may benefit from on-site availability.
Delivery skills
A capable MongoDB professional translates business entities into efficient document models and tests realistic query patterns before launch. They define indexes from measured access needs, protect data with role-based access and encryption, and set up monitoring, backup recovery and rollout procedures. Application knowledge in JavaScript, TypeScript, Java, Python or .NET can be important because database choices affect the full service.
Choosing a specialist
Review how the professional explains trade-offs rather than accepting a generic schema proposal. Ask for examples of aggregation design, index diagnosis, migration rehearsal and failure recovery, while protecting confidential details. Strong specialists can state when MongoDB is a poor fit, compare it fairly with PostgreSQL or other relational systems, and leave clear documentation, tests and operational runbooks.
Frequently asked questions
Need clarity? These are the questions we hear most often about MongoDB.
MongoDB is used for applications that manage flexible, nested or rapidly changing data. Common examples include product catalogues, content systems, customer profiles, event streams, mobile backends and services that need to scale across multiple nodes.
MongoDB stores document-shaped records and often reduces joins when related data is read together. PostgreSQL and other relational systems are usually stronger for highly structured relationships, complex transactions and strict tabular constraints, so the right choice depends on access patterns and consistency needs.
A strong MongoDB specialist should understand data modelling, indexing, aggregation, replication and backup recovery. Experience with MongoDB Atlas, cloud networking, observability, security and an application stack such as TypeScript, Java, Python or .NET is also useful.
The required background depends on the risk and scope of the work. A simple application integration may need a specialist who can model documents and tune queries, while a migration, sharded deployment or regulated production system calls for proven operational and recovery expertise.
MongoDB can support Swiss companies through self-managed infrastructure, a private cloud or MongoDB Atlas, subject to the organisation’s security and data-residency requirements. A specialist should involve compliance and security stakeholders early rather than treating deployment location as an afterthought.
MongoDB work is often suitable for remote collaboration because modelling, query reviews, monitoring and documentation can be handled online. On-site workshops may still help with discovery, regulated environments or teams that need German, French, Italian or English communication.
Ask the specialist to explain why the document model matches real read and write patterns. Good MongoDB work includes purposeful indexes, measured query performance, tested backup restoration, secure access, clear monitoring and documentation that another professional can operate.
MongoDB may be a weak choice when the workload depends on dense relational joins, rigid cross-record constraints or complex analytical SQL. A responsible specialist will compare it with a relational database and may recommend a mixed architecture instead of forcing every dataset into documents.
The average hourly rate of freelancers in Switzerland who have used MongoDB in their recent projects is 116 €, which corresponds to a daily rate of about 929 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used MongoDB in their recent projects, 100% hold at least a Bachelor's degree and 64% hold at least a Master's degree.
On average, freelancers in Switzerland who have used MongoDB in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Switzerland who have used MongoDB in their recent projects are English (100%), German (86%), and Spanish (43%).
The most common industries among freelancers in Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (79%), and Professional Services (57%).
The most common business areas among freelancers in Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (43%).
Main locations of FRATCH Experts, who have recently used MongoDB
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
