MongoDB Expert in Zurich
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Meet FRATCH Experts in Zurich, 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.
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.
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.
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
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.9 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
75%
Certifications per freelancer
1
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 Zurich 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 Zurich 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 (90%)
- Professional Services (60%)
- Retail (50%)
- Education (40%)
- Healthcare (40%)
- Insurance (40%)
- Government and Administration (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database
MongoDB is a NoSQL document database that stores data as flexible BSON documents. It is used for APIs, content platforms, customer applications, catalogs and event-driven systems where data structures evolve quickly. MongoDB supports rich queries, indexing and horizontal scaling without forcing every record into identical tables.
Data modeling
Strong MongoDB work starts with modeling documents around the way an application reads and writes data. Experts decide when to embed related data, when to use references and how to handle schema validation, versioning and migrations. They also design indexes and query patterns that keep document access predictable as workloads grow.
Core ecosystem
The ecosystem includes MongoDB Atlas, the managed cloud service, along with drivers for JavaScript, TypeScript, Python, Java, C# and Go. Common project work also involves aggregation pipelines, change streams, transactions, replica sets and sharded clusters.
- Configure secure MongoDB Atlas environments
- Create aggregation pipelines and compound indexes
- Connect applications through official drivers and ODMs
- Plan replication, backups and data migration
Where it fits
MongoDB is a natural fit for products with varied or rapidly changing data, including digital services, media workflows, retail catalogs, logistics systems and financial applications. Companies may also use it beside relational databases, assigning each datastore the workloads it handles best.
- Build API backends and microservices
- Store product, profile and content documents
- Process operational events with change streams
- Support geospatial and real-time application features
When specialists help
Freelance expertise is valuable when a team is moving from a relational model, adopting Atlas or addressing slow queries and rising operational demands. A specialist can review an existing schema, define an upgrade path, establish observability and transfer practical knowledge to the internal team. In Zurich, remote delivery often works well, while workshops may benefit from on-site collaboration.
Quality signals
The best professionals connect database choices to application behavior rather than treating MongoDB as a simple storage layer. They can explain trade-offs between embedding and referencing, test queries with realistic data, and set clear backup and recovery procedures. They also understand access control, encryption, monitoring, cost-aware scaling and the limits of distributed transactions.
Frequently asked questions
Everything clients usually want to know about MongoDB, in one place.
MongoDB is commonly used for APIs, content management, product catalogs, user profiles, event data and applications with changing data structures. Its document model lets teams store related information in a form that often maps closely to application objects.
MongoDB offers flexible documents and horizontal scaling, while PostgreSQL and similar relational systems provide tables, joins and strong relational constraints. The right choice depends on access patterns, consistency needs, reporting requirements and the existing skills of the team.
A strong MongoDB specialist usually understands one or more application languages, API design, cloud infrastructure and data migration. Experience with MongoDB Atlas, Docker, Kubernetes, observability, security and CI/CD is useful when the database is part of a production platform.
The required depth depends on the work. A small application may need an expert to model collections and create indexes, while a high-volume platform may require expertise in replication, sharding, backup recovery, query profiling and zero-downtime migrations.
Yes. MongoDB projects can usually be handled remotely through shared repositories, secure cloud access, documentation and scheduled technical sessions. On-site workshops in Zurich can still help with architecture reviews, migration planning and collaboration with local product teams.
Before changing MongoDB, a freelancer should review real read and write patterns, document size, index usage, validation rules and migration constraints. They should define a rollback plan and test the change against representative data before applying it in production.
Ask the specialist to explain a concrete modeling decision, including why data was embedded or referenced and how the chosen indexes support actual queries. Good professionals also discuss failure handling, backup verification, security boundaries and measurable acceptance tests without relying on vague claims.
MongoDB Atlas is the managed cloud service built around MongoDB. It reduces operational work for provisioning, backups, monitoring and scaling, but teams still need sound schema design, access control, network configuration and query optimization.
The average hourly rate of freelancers in Zurich, Switzerland who have used MongoDB in their recent projects is 121 €, which corresponds to a daily rate of about 966 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used MongoDB in their recent projects, 100% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used MongoDB in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are English (100%), German (80%), and Spanish (40%).
The most common industries among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Banking and Finance (90%), and Professional Services (60%).
The most common business areas among freelancers in Zurich, Switzerland who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (60%).
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
