Hire MongoDB Developer

MongoDB

Let’s build robust, high-performance applications with Upstaff’s skilled MongoDB developers.

  • Our vetted experts specialize in designing and optimizing NoSQL databases for Data Science, real-time analytics, and scalable web solutions.
  • Whether you need to hire a MongoDB developer for cloud integrations, microservices, or big data projects, Upstaff connects you with top talent proficient in MongoDB, Node.js, and modern frameworks. Start transforming your data infrastructure with Upstaff today!
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2K+ Vetted Developers
48 hours average start
MongoDB

Meet Upstaff’s Vetted MongoDB Developers

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Node.js 10yr.
JavaScript 15yr.
MongoDB 8yr.
Linux 8yr.
RDBMS 5yr.
PHP 4yr.
Docker 3yr.
Express 2yr.
Ext JS 2yr.
React 2yr.
AWS ElasticSearch 2yr.
Redis 2yr.
AWS 2yr.
NestJS
...

• 15+ years JavaScript programming • Over 10 years in Node.JS programming • Familiar with React.js • Experience building highly scalable distributed web applications and browser extensions • Extensive experience with REST services • Strong communication and cooperation skills • Solid experience as a Backend developer • Fluent in English, written and spoken • long Term experience in remote work with USA and Europien companies • Self-directed person, with proven ability to manage goals and deadlines effectively

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Seniority Expert (10+ years)
Location Belarus
JavaScript 4yr.
Cypress
Cucumber
Postman
TypeScript 3yr.
Java 1yr.
React 1yr.
Ruby
Capybara
RubyMine
Sinatra
Microsoft SQL Server
MongoDB
MySQL
PostgreSQL
SQL
TSQL
AWS
Amazon Linux AMI
Azure VM
Agile
BDD
Scrum
TDD
Waterfall
RSpec
Selenium
TestRail
Xray
CI/CD
CircleCI
GitLab CI
Jenkins
Cisco switches
Docker
Oracle VM VirtualBox
Git
Github Actions
IntelliJ IDEA
ReSharper
Visual Studio
WebStorm
NFT
Unix
Windows
apiclient
IntellJ IDEA
restClient
VMWare vCenter
...

- 10+ years in software quality engineering with priority in automation testing and SDET; - Programming languages: Javascript, Typescript, Ruby, Java (Basic); - SQL Server SQL/TSQL, MS SQL Server 2005/2012, PostgreSQL/MySQL/MongoDB, MariaDB; - Methodologies include Agile, Scrum, TDD, and BDD; - Projects with large software service companies, SMBs and startups. Domains include CRM, banking, healthcare, insurance, and trading. Business oriented projects, working as team member and independent engineer ( USA, France, and UK teams), open source projects; - Created test documentation/test plan; Performing functional, integration, e2e, API, system testing of product; - Automation with Cypress, and CI/CD maintenance using tools like Jenkins, CircleCI, Docker, Github Actions, GitlabCI, and AWS cloud infrastructure; - QA tools include Cypress, Cucumber, Jenkins, Postman, Selenium and Capybara; - Holds a Master's Degree in Network Engineering and Economics; - ISTQB Certification. AWS and Cisco security trainings. - Availability and start: full-time, in two weeks

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Seniority Senior (5-10 years)
Location Kyiv, Ukraine
PostgreSQL 5yr.
REST 5yr.
TypeScript 3yr.
Python
Go
Gin 5yr.
GORM 5yr.
CSS 5yr.
HTML 5yr.
Zend 5yr.
Docker 5yr.
Git 5yr.
Microsoft Visual Studio Code 5yr.
Gorilla Mux 3yr.
Node.js 3yr.
WebSockets 3yr.
Google Maps API 3yr.
Expo.io 2yr.
Kubernetes 2yr.
Akka Streams 1yr.
Apache Spark 1yr.
ASP.NET MVC Pattern 1yr.
ASP.NET WebForms 1yr.
Entity Framework 1yr.
.Net WCF 1yr.
ATL 1yr.
MFC 1yr.
jQuery 1yr.
XML 1yr.
RubyMine 1yr.
Apache Hive 1yr.
Apache Nifi 1yr.
AWS ElasticSearch 1yr.
Bigtable 1yr.
CockroachDB 1yr.
Microsoft SQL Server 1yr.
MongoDB 1yr.
Oracle Database 1yr.
GCP 1yr.
Dataproc 1yr.
Google BigQuery 1yr.
Google Cloud Pub/Sub 1yr.
Consul 1yr.
REST C++ SDK 1yr.
Qt Creator 1yr.
STL 1yr.
Boosting 1yr.
ChromeDP 1yr.
Assembler
Assembly
C
C#
C++
Java
JavaScript
Kotlin
Ruby
Swift
X++
chi
flax
Google JAX
Grok
JAX
LangChain
NumPy
OpenAI
PyTorch
Spacy
TensorFlow
xAI
MS Dynamics 365
Beego
Echo
Gramework
Boost
Cross-platform UI
Django
FastAPI
Flask
Pandas
React Hooks
Apache Airflow
LightGBM
moving pandas
Aerospike
FoundationDB
Memcached
MySQL
Redis
AWS
Azure
MS Azure
Microsoft Power Platform
Azure DevOps Server (ex TFS Team Foundation Server)
Kitura
Bash
PowerCLI
PowerShell
Centos
FreeBSD
Linux
macOS
Windows
fasthttp
GRPC
NAT
Networking
Design patterns
Observer
Qemu
OpenAPI
Swagger
Mercurial
SVN
Grafana
Prometheus
Zabbix
Qt Framework
Visual Studio
NATS
RabbitMQ
Selenium
TFS
Code Blocks
DAG
fasthhtp
logrus
Multi-threading
Quart
Tesseract OCR
zap
...

* Master’s Degree in Computer Science * 19 years in Software Engineering: Python, Kotlin, Swift, C/C++, and TypeScript in software engineer, team lead, and software architect roles. * Data processing with numpy, pandas, moving pandas, airflow, spark,and nifi. * Designed and implemented a scalable multi-microservice backend for an enterprise AdTech CRM, integrating 10+ third-party services and streamlining client management operations. * Built and deployed a billing system for a money exchange platform, integrating third-party payment systems and delivering a user-friendly web interface for seamless transactions. * Optimized data processing pipelines by implementing quantiles on streams, enabling real-time analytics and supporting large-scale data operations for scientists and business stakeholders. * Extensive background in data processing and reporting. Good abilities in SCM tools like Git, and in multi-threading and networking. Strong skills in Docker, gRPC; * Cloud service platforms: AWS, Google Cloud, and MS Azure; * Experience with DBMS, PostgreSQL, MySQL, MongoDB; * Certificated knowledge of Blockchain; * Certified Senior Go Engineer (12 years with GoLang).

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Seniority Expert (10+ years)
Location Ukraine
Bash 10yr.
Shell Scripts 10yr.
MySQL 10yr.
Ansible
Ansible Playbook
Perl 8yr.
Python 5yr.
MS Azure 5yr.
ITIL 5yr.
Oracle Database 4yr.
AWS 4yr.
PostgreSQL 3yr.
GCP 3yr.
AWS ElasticSearch 2yr.
MongoDB 2yr.
ServiceNow API 1yr.
Jira Service Desk 1yr.
Basic
Java
Pascal
juniper
NPM
Kibana
ELK stack (Elasticsearch, Logstash, Kibana)
Microsoft SQL Server
NoSQL
ORM
rrd
Azure
AWS CLI (Amazon Command Line Interface)
AWS CloudWatch
AWS CodeDeploy
AWS CodeDeploy mail
AWS EB (Amazon Elastic Beanstalk)
AWS Elastic Kubernetes Service (EKS)
Azure Key Vault
Hyper-V
MS Exchange
Agile
ITSM
Scrum
Waterfall
CI/CD
DevOps
GitLab CI
Jenkins
OpenVPN
Apache Tomcat
BGP
CIFS
Diameter
Dovecot
LDAP
mrtg
OSPF
Postfix
RADIUS
RDP
Samba
TLS
VLAN
VPN
BitBucket
GitHub
Bitrix
Bitrix24
Citrix
Red Hat OpenShift Container Platform
Containerd
Docker
Docker Compose
Docker Swarm
ESXi
Horizon
Kubernetes
KVM (for Kernel-based Virtual Machine)
LXC
LXD
Oracle VM VirtualBox
Proxmox
Qemu
Terraform
virtualization
VmWare
Exim
FreeBSD
HP-UX
Linux
macOS
MacOS Server
NetBSD
SunOS
Unix
Windows
Grafana
Monit
Nagios
Prometheus
SIP
Zabbix
Jira
OTRS
RequestTracker
Kafka
RabbitMQ
Office 365
BAS
cisco
Courier
CSIM
DELL
DRS
Esx
Extreme
GSM Networking
HP
jre
Microtik
MS Project
Sendmail
Stunnel
Supermicro
VxLAN
windows rds
...

- Over 20 years in IT with a master's degree in Cybernetics - Proficient in Ansible: Extensive experience in deploying and managing Ansible-driven infrastructure, particularly highlighted in roles as SRE/Architect (Aug 2018 – Present) and Senior DevOps Engineer/Lead Sysadmin (Aug 2020 – May 2021), where Ansible was pivotal in scaling a learning platform from 1,000 to over 100,000 students and in key migration projects. - Expertise in Windows Environments: Demonstrated strong skills in managing Windows environments, especially as an SRE/Architect (Aug 2018 – Present) and CTO (2013 – Mar 2022), involving Windows AD+MSSQL backoffice management and ITIL Service Management framework implementation on Windows platforms. - Versatile IT Roles with Ansible and Windows: Across various roles including IT Service Manager, Senior DevOps Engineer, and CTO, consistently applied Ansible and Windows technologies in large-scale infrastructure projects and day-to-day operations, showing versatility and depth in these areas. - Managing the growth of the learning platform from 1,000+ to 100k+ active students - ITIL v3 Foundations Certificate - More than 5 years of experience in leading ITIL Service Management capability and implementing end-to-end ITIL Service Management framework - Strong experience in using ServiceNow and Jira Service Desk for ITSM - Experienced IT/Telecom Specialist - UNIX and UNIX-Like OS (FreeBSD, Linux, SunOS, MacOS X) background - Over 20 years of Windows/windows server family. From NT4.0 /win3.1 up to Server2019. As well as upgrading Up to 15 years with server HW, and 13 years with storage solutions - Infrastructure problem-solver with a strong view on reliability, performance, and disaster recovery - Fluent English

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Seniority Senior (5-10 years)
Location Ukraine
Node.js 5yr.
React 3yr.
Solidity
NFT
Python 10yr.
C++
JavaScript
R
TypeScript
Express
Next.js
HTML
XML
BigChainDB
Cosmos DB
CouchDB
MongoDB
MySQL
PostgreSQL
SQL
Asterisk
Avalanche
BEP-20
BSC
DeFi
ERC-1155
ERC-20
ERC-721
ETH (Ethereum blockchain)
ICO
IPFS (InterPlanetary File System)
TronChain
Wallets (Integration & Transaction Signing)
Bash
Perl
Docker
Kubernetes
GitLab CI
Odoo
Stripe
Payload Verification
Strap
...

• 15+ years of commercial software development experience • Solid knowledge of Solidity, C++, JavaScript, TypeScript; • Deep understanding of blockchain architecture and smart contract logic; • Cosmos, Tron, Avalanche, Binance Smart Chain, Ethereum dApps; • Strong skills in developing NFT smart contracts. Support and payload verification; • NFT Marketplaces (ERC - 721/1155), Crypto Payment Solutions & DeFi Cross Chain Bridges - ERC-20 Tokens, ICO, DEX, Staking, Swapping; • Highly qualified knowledge of Stripe payment system integration to blockchain data; • 10+ years experience working with Python; • 5 years experience working with Node.js; • Strong abilities with Express; • Experience working with Docker, and Kubernetes (K8s); • 3+ years of development experience with React.js. • No scheduled vacations within the next 3 months;

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Seniority Senior (5-10 years)
Location Ukraine
Java SE
Java EE
Java FX
PHP
JavaScript
C
C++
Pascal
Python
Swift
Akka
CSS
DHTML
HTML
XML
EJB
Guava
Jackson
JDBC
Swing
Gson
Hibernate
Spring
Kohana Framework
Zend
Microsoft SQL Server
MongoDB
MySQL
Oracle Database
PostgreSQL
Redis
AWS
Azure
GCP
AWS S3
Google App Engine
Apache ActiveMQ
Kafka
RabbitMQ
Apache HTTP Server
JBoss
Nginx
Windows Server
Apache Maven
JUnit
Centos
macOS
Oracle Solaris
RedHat
Ubuntu
Windows
FaceApi
Facebook Graph API
Log4j
Windows API
Git
Mercurial
Gradle
GAE
GCM
Netty
Smarty Templating Engine
...

• 11 years of practical experience in software development. • Excellent experience with application engineering, architecting and development. Capable of analyzing, designing complex, high loaded systems, efficient resources management and problem solving. Quick learner of new technologies. • Fluent English level.

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Seniority Senior (5-10 years)
Location Ukraine
JavaScript 8yr.
React 8yr.
TypeScript 5yr.
Node.js 5yr.
Next.js 3yr.
Redux 4yr.
PHP 1yr.
React Native 1yr.
Angular
AngularJS
Backbone.js
Express
jQuery
Koa.js
NestJS
Angular CLI
ngFor
ngIf
NgRx
ngrx-forms
ngSwitch
React Bootstrap
reactive-forms
Redux-Saga
RxJs
Webpack
Angular Material UI
Ant Design
Material UI
Cordova
Ionic
AWS ElasticSearch
FireStore
MongoDB
MySQL
NoSQL
PostgreSQL
Redis
Sequelize
SQL
AWS
AWS EC2
AWS Lambda
AWS S3
Blockchain
Apache HTTP Server
Nginx
API
GraphQL
RESTful API
Conflict Management
Emotional Intelligence (EI)
Mentor Aptitude
Team Management
Team Management Skills
DeFi
Fortmatic
MetaMask
NFT
Smart Contract
Subsquid
Wallet Link
Web3
Docker
Kubernetes
MVC
REST
WebRTC
WebSockets
WordPress
...

10+ years of experience in web development, M.Sc in Software Engineering, GAI, LLMs Front-End: Angular, React, Vue.js (JavaScript & TypeScript) Back-End: Node.js, Next.js, TypeScript , PHP Mobile: React Native AWS Cloud infrastructure Control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD). Unit testing, integration testing, and end-to-end testing. Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback. Experience conducting assessments and interviews remotely.

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Seniority Architect/Team-lead
Location Ukraine
System Architecture
JavaScript
Rust
Go
Java
Autopsy
Burp Suite
Kali
MPI DSS
Nessus
Nikto
OpenVas
OSSEC
OWASP
Sleuth
Tornado
Wireshark
Caffe
ChatGPT
Claude
CoPilot
DeepCoder
Gemini
GenAI
GPT
H20
LLaMA
Mistral AI
n8n
NLP
PyTorch
Scikit-learn
Shogun
TensorFlow
Cobol
Kotlin
PHP
Python
Solidity
Actix Web
Axum
Rocket
Apache Spark
Spring Boot
CodeIgniter
Laravel
Yii
Django
Flask
Ethers.js
Moleculer microservices framework
Express
NestJS
Node.js
React
Vue.js
ADLS
Apache Beam
Apache Glue
Azure Data Factory
Lakehouse
Microsoft Azure Synapse Analytics
Apache Hadoop
Bigtable
Cassandra
Clickhouse
Data Lake
ELK stack (Elasticsearch, Logstash, Kibana)
MongoDB
MySQL
PostgreSQL
Redis
Sequilize
Typeorm
Alibaba Cloud
Azure
GCP
Hetzner
AWS DevOps
Azure Blob Storage
Azure HDInsight
Dataflow
Google BigQuery
Ansible
Anycast DNS
BareMetal
GitLab CI
Jenkins
MetalLB
Atlassian Confluence
Jira
Miro
Notion
Redmine
Bash
BGP
Networking
Metasploit
Postman
ClickUp
Excel
Creatio
Navision
Termius
Draw.io
Figma
Foundry
Hardhat
OpenZeppelin
Rollups
Subgraph
Subsquid
Tokio
Truffle
Yul
ZK-Rollups
Git
Github Actions
Grafana
Prometheus
GraphQL
RESTful API
Kubernetes
Terraform
Atlassian
Azure Event Hubs
DICOM
EnCase
FHIR
FTK
HL7
RS-232
URT
X1
КУБ24
...

* Accomplished Solution Architect, Technical manager with 13+ years of progressive experience in architecture design and a comprehensive understanding of project management and software development. * Orchestrating process implementations, ensuring tasks are completed within strict deadlines and budget, and delivering tangible business benefits. * Operational expertise includes Strategic Planning, Process Optimization, Change Management, Risk Management, Compliance and Governance, Requirement Analysis, Delivery Management, Process Improvement, Client Engagement and Retention, Business Analysis, A/B analysis, Product strategy developing, Report generating, and Compiling result reports. * Leadership and Management: Team building, Stakeholder Management, and Conflict Resolution.

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Seniority Architect/Team-lead
Location Kyiv, Ukraine

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Maria Lapko
Global Partnership Manager

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Want to hire MongoDB developer? Then you should know!

Table of Contents

Soft skills of a MongoDB Developer

Soft skills are essential for MongoDB developers as they work not only with databases but also collaborate with teams, communicate with clients, and solve problems. Here are the soft skills required at different levels of expertise:

Junior

  • Effective Communication: Ability to communicate clearly and effectively with team members and stakeholders.
  • Adaptability: Willingness to learn and adapt to new technologies and methodologies.
  • Problem-solving: Capability to analyze and troubleshoot issues to find efficient solutions.
  • Teamwork: Collaboration and cooperation with team members to achieve project goals.
  • Time Management: Efficiently managing time and prioritizing tasks to meet deadlines.

Middle

  • Leadership: Ability to take on leadership roles and guide junior members of the team.
  • Mentoring: Assisting and mentoring junior developers to enhance their skills and knowledge.
  • Critical Thinking: Applying logical reasoning and analysis to solve complex problems.
  • Conflict Resolution: Resolving conflicts within the team or with clients in a professional manner.
  • Client Management: Building and maintaining good relationships with clients, understanding their requirements, and providing effective solutions.
  • Attention to Detail: Paying close attention to details to ensure accuracy and quality in work.
  • Collaboration: Working collaboratively with cross-functional teams to achieve project objectives.

Senior

  • Strategic Thinking: Ability to think strategically and make informed decisions for the project’s success.
  • Project Management: Managing and overseeing projects, ensuring they are delivered on time and within budget.
  • Communication Skills: Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
  • Empathy: Understanding and empathizing with clients and team members to create a positive work environment.
  • Innovation: Bringing innovative ideas and approaches to improve processes and systems.
  • Negotiation: Negotiating contracts, scope, and timelines with clients or vendors.
  • Conflict Management: Resolving conflicts and managing difficult situations with diplomacy and professionalism.
  • Decision-making: Making well-informed decisions based on analysis, experience, and industry knowledge.

Expert/Team Lead

  • Strategic Leadership: Providing strategic direction and guidance to the team for successful project execution.
  • Team Management: Managing and mentoring a team of developers, assigning tasks, and monitoring progress.
  • Client Relationship Management: Building and maintaining long-term relationships with clients, understanding their business needs, and ensuring client satisfaction.
  • Business Acumen: Understanding the business aspects and aligning technical solutions with organizational goals.
  • Conflict Resolution: Resolving conflicts and managing challenging situations within the team or with clients.
  • Decision-making: Making critical decisions that impact the project’s success and align with the company’s objectives.
  • Strategic Planning: Developing and implementing strategic plans for the team’s growth and success.
  • Continuous Learning: Keeping up with the latest trends and technologies in the field of MongoDB development.
  • Technical Expertise: Deep knowledge and expertise in MongoDB and related technologies.
  • Effective Communication: Communicating effectively with stakeholders, including clients, senior management, and team members.
  • Quality Assurance: Ensuring high-quality standards are maintained throughout the development process.

How and where is MongoDB used?

Case NameCase Description
1. Real-Time AnalyticsMongoDB is commonly used for real-time analytics, where large volumes of data from various sources are processed and analyzed in real-time. For example, a retail company can use MongoDB to collect and analyze data from their online store, including customer behavior, sales trends, and inventory management. By leveraging MongoDB’s flexible document model and powerful query capabilities, businesses can gain valuable insights and make data-driven decisions in real-time.
2. Content Management SystemsMongoDB is an ideal choice for content management systems (CMS) that require scalability, flexibility, and high performance. With MongoDB, CMS platforms can easily handle a large number of concurrent users, store and retrieve multimedia content such as images and videos, and support dynamic content updates. MongoDB’s document model allows developers to structure content in a way that suits their application requirements, enabling efficient content storage, retrieval, and indexing.
3. Internet of Things (IoT) ApplicationsMongoDB is well-suited for IoT applications that involve handling and processing large volumes of sensor data. For instance, a smart home system can utilize MongoDB to store sensor readings from various devices such as thermostats, cameras, and motion sensors. MongoDB’s flexible schema and horizontal scalability make it easy to accommodate diverse data types and handle the high write loads generated by IoT devices. Moreover, MongoDB’s geospatial indexes enable efficient querying and analysis of location-based IoT data.
4. Personalization and Recommendation EnginesMongoDB is widely used in applications that require personalization and recommendation features. For example, an e-commerce platform can utilize MongoDB to store and retrieve customer profiles, purchase history, and product catalogs. By leveraging MongoDB’s powerful query capabilities and aggregation framework, businesses can dynamically generate personalized recommendations for their customers based on their browsing and purchase behavior. MongoDB’s ability to handle large and complex data sets enables efficient and scalable recommendation engine implementations.
5. Mobile App BackendMongoDB is a popular choice for building the backend of mobile applications due to its scalability, flexibility, and ease of use. Mobile apps often generate large amounts of user-generated data, such as user profiles, social interactions, and media uploads. MongoDB’s document model allows developers to store and retrieve this data efficiently, while its horizontal scalability ensures that the backend can handle high user loads. Additionally, MongoDB’s built-in support for geospatial indexes enables location-based features in mobile apps, such as mapping and location tracking.
6. Catalog and Inventory ManagementMongoDB is well-suited for catalog and inventory management systems that deal with large volumes of product data. For instance, an e-commerce platform can utilize MongoDB to store product catalogs, track inventory levels, and handle order management. MongoDB’s document model allows for flexible and dynamic product data structures, making it easy to accommodate different types of products and attributes. Its powerful querying capabilities enable efficient filtering, sorting, and searching of products based on various attributes, such as price, category, and availability.

TOP 12 Facts about MongoDB

  • MongoDB is a NoSQL database that provides high performance, scalability, and flexibility for storing and retrieving large volumes of data.
  • It was developed by a company called MongoDB Inc. and was first released in 2009.
  • MongoDB uses a document data model, which means it stores data in a flexible, JSON-like format called BSON (Binary JSON).
  • One of the key features of MongoDB is its ability to scale horizontally, allowing you to distribute your data across multiple servers to handle increased workload and data growth.
  • It supports automatic sharding, which is a technique used to partition data across multiple machines in a cluster to improve performance and scalability.
  • MongoDB provides built-in replication, which ensures high availability and data durability by automatically creating and maintaining copies of data across multiple servers.
  • It offers a rich query language and supports various types of queries, including ad-hoc queries, range queries, and geospatial queries.
  • MongoDB has a flexible schema, allowing you to store data without a predefined structure and easily modify the schema as your application evolves.
  • It provides powerful indexing capabilities, allowing you to create indexes on any field to improve query performance.
  • MongoDB has a robust set of tools and drivers for various programming languages, making it easy to integrate with different applications and frameworks.
  • It has a large and active community of developers, providing support, documentation, and numerous resources to help you get started and troubleshoot any issues.
  • MongoDB is widely used across industries and is particularly popular for building modern web applications, content management systems, and data analytics platforms.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssisting senior developers with coding and testing tasks, learning and improving coding skills, debugging and fixing simple issues, participating in code reviews.40,000 – 60,000
Middle2-5 yearsWorking independently on coding tasks, designing and implementing new features, participating in code reviews, mentoring junior developers, collaborating with other teams and stakeholders, contributing to architectural decisions.60,000 – 80,000
Senior5-10 yearsOwning complex projects or modules, providing technical guidance and mentorship to junior and middle developers, leading code reviews and ensuring code quality, collaborating with product and design teams, making critical technical decisions, identifying and resolving performance bottlenecks.80,000 – 120,000
Expert/Team Lead10+ yearsLeading a team of developers, managing project timelines and deliverables, providing technical direction and guidance, driving architectural decisions, collaborating with cross-functional teams, mentoring and coaching team members, resolving conflicts, ensuring high-quality code and performance.120,000 – 200,000+

TOP 10 MongoDB Related Technologies

  • Python

    Python is one of the most popular programming languages for MongoDB software development. It offers a simple and readable syntax, making it easy to work with MongoDB’s document-oriented data model. Python’s extensive ecosystem provides libraries like PyMongo for interacting with MongoDB, making it an excellent choice for building scalable and efficient applications.

  • Node.js

    Node.js is a JavaScript runtime built on Chrome’s V8 engine. It excels in building scalable and high-performance applications, making it a popular choice for MongoDB development. Node.js leverages non-blocking I/O, allowing developers to handle a large number of concurrent requests efficiently. It also offers libraries like the MongoDB driver and Mongoose for seamless integration with MongoDB.

  • Express.js

    Express.js is a minimalist web application framework for Node.js. It provides a robust set of features for building web applications and APIs, making it a popular choice for MongoDB software development. Express.js offers middleware support, routing capabilities, and easy integration with MongoDB through libraries like Mongoose, providing developers with a solid foundation for building scalable and maintainable applications.

  • React

    React is a popular JavaScript library for building user interfaces. With its component-based architecture, React allows developers to build reusable UI components, making it easier to manage complex UIs. React can be seamlessly integrated with MongoDB through backend frameworks like Node.js and Express.js, enabling developers to build modern and responsive applications.

  • Angular

    Angular is a comprehensive JavaScript framework for building web applications. It provides a powerful set of tools for building scalable and maintainable applications, making it a popular choice for MongoDB development. Angular offers features like two-way data binding, dependency injection, and a modular architecture, allowing developers to build robust and efficient applications that seamlessly integrate with MongoDB.

  • Java

    Java is a widely adopted programming language known for its versatility and performance. It has a rich ecosystem of libraries and frameworks, making it a popular choice for MongoDB software development. With libraries like the MongoDB Java Driver, developers can easily interact with MongoDB and leverage its features in Java applications.

  • Spring Framework

    The Spring Framework is a widely used Java framework for building enterprise-level applications. It provides a comprehensive set of features, including dependency injection, data access, and web development capabilities. Spring Data MongoDB, an extension of the Spring Framework, offers seamless integration with MongoDB, allowing developers to leverage MongoDB’s document-oriented capabilities in their Spring-based applications.

What are top MongoDB instruments and tools?

  • MongoDB Compass: MongoDB Compass is a GUI tool for MongoDB that allows users to easily explore and manipulate their MongoDB databases. It provides a graphical interface to visualize and interact with the data, making it easier for developers and administrators to work with MongoDB. Compass is known for its intuitive user interface and powerful features such as query optimization, schema analysis, and data visualization. It was first released in 2015 and has since become one of the most popular MongoDB tools among developers.
  • MongoDB Atlas: MongoDB Atlas is a fully managed cloud database service provided by MongoDB. It allows users to easily deploy, manage, and scale their MongoDB databases in the cloud. Atlas provides a range of features including automated backups, monitoring, and security controls. It was launched in 2016 and has gained significant popularity due to its ease of use and scalability. Many organizations, from startups to enterprises, rely on MongoDB Atlas for their database needs.
  • MongoDB Stitch: MongoDB Stitch is a serverless platform provided by MongoDB that simplifies the development of backend services for MongoDB applications. It allows developers to build serverless functions, trigger database actions, and integrate with external services without managing infrastructure. Stitch was introduced in 2018 and has quickly become a popular choice for developers looking to build serverless applications with MongoDB.
  • MongoDB Ops Manager: MongoDB Ops Manager is a tool that provides a comprehensive management and monitoring solution for MongoDB deployments. It allows administrators to deploy, monitor, and scale MongoDB clusters with ease. Ops Manager offers features such as automated backups, performance monitoring, and alerting. It has been available since 2012 and is widely used by organizations to ensure the smooth operation of their MongoDB databases.
  • MongoDB BI Connector: MongoDB BI Connector is a tool that enables SQL-based access to MongoDB data. It allows users to connect popular BI tools such as Tableau and Power BI to MongoDB and perform ad-hoc queries using SQL. The BI Connector was introduced in 2016 and has been widely adopted by organizations that want to leverage their existing BI infrastructure with MongoDB.
  • MongoDB Charts: MongoDB Charts is a data visualization tool that allows users to create and share interactive charts and dashboards using MongoDB data. It provides a drag-and-drop interface to easily create visualizations without writing code. MongoDB Charts was released in 2019 and has become a popular tool for data analysts and business users who want to gain insights from their MongoDB data.

Cases when MongoDB does not work

  1. When the dataset size exceeds the available memory: MongoDB relies heavily on memory-mapped files to provide efficient data access. However, if the dataset size grows beyond the available memory, it can lead to frequent page faults and reduced performance. In such cases, it is recommended to either scale up the hardware resources or shard the dataset across multiple servers.
  2. When there is a need for complex joins and transactions: MongoDB is a NoSQL database that prioritizes scalability and performance over strict consistency. As a result, it does not support complex join operations or multi-document transactions in the same way as traditional relational databases. While MongoDB provides some mechanisms to handle relationships between documents, if your use case heavily relies on complex joins or ACID transactions, a relational database might be a better fit.
  3. When there is a requirement for real-time analytics: MongoDB is designed for operational data storage and retrieval rather than real-time analytics. Although it provides aggregation framework and map-reduce capabilities, it may not offer the same level of performance and flexibility as dedicated analytics databases like Apache Spark or Apache Druid. If your application requires extensive real-time analytics, it might be worth considering specialized analytics tools alongside MongoDB.
  4. When the data schema is likely to change frequently: MongoDB’s flexible schema-less nature allows for easy changes to the data structure. However, if the data schema is expected to evolve frequently and unpredictably, it can introduce challenges in maintaining data integrity and consistency. In such cases, a relational database with a fixed schema and strong data validation might be a more suitable choice.
  5. When strong ACID guarantees are required: MongoDB provides a level of data consistency through replica sets and write acknowledgments. However, it does not offer full ACID (Atomicity, Consistency, Isolation, Durability) guarantees across multiple operations. If your application demands strict ACID compliance, especially for complex transactions involving multiple documents, a traditional relational database might be a better choice.

Pros & cons of MongoDB

9 Pros of MongoDB

  • High Scalability: MongoDB is designed to handle large amounts of data and can scale horizontally by adding more servers to distribute the workload.
  • Flexible Data Model: MongoDB uses a flexible schema, allowing you to store and update data without the need for predefined schemas or migrations.
  • Document-Oriented: MongoDB stores data in flexible JSON-like documents, making it easy to work with for developers.
  • Easy Replication and High Availability: MongoDB supports automatic replication, allowing you to create replicas of your data for fault tolerance and high availability.
  • Fast Querying: MongoDB uses indexing and a powerful query language to efficiently retrieve data, making it suitable for applications that require fast data access.
  • Horizontal Scaling: MongoDB can distribute data across multiple servers, allowing for seamless scaling as your data grows.
  • Automatic Sharding: MongoDB can automatically partition data across multiple servers, making it easy to scale horizontally without manual data sharding.
  • Aggregation Framework: MongoDB provides a powerful aggregation framework that allows you to perform complex data analysis and aggregation operations.
  • Community Support: MongoDB has a large and active community of developers who contribute libraries, tools, and resources to help you get started and solve problems.

9 Cons of MongoDB

  • Memory Usage: MongoDB can consume a significant amount of memory, especially if you have large indexes or frequently update data.
  • No ACID Transactions: MongoDB does not support ACID transactions across multiple documents or collections, which can be a challenge for certain use cases.
  • No Joins: MongoDB does not support traditional SQL-style joins, requiring you to denormalize your data or perform multiple queries to achieve the same result.
  • Data Size Limit: MongoDB has a maximum document size limit of 16MB, which can be a constraint for certain types of data.
  • Indexing Overhead: Creating and maintaining indexes in MongoDB can introduce additional overhead and impact write performance.
  • Query Performance: While MongoDB can provide fast querying for certain use cases, complex queries or large data sets may experience performance degradation.
  • Learning Curve: Switching from a relational database to MongoDB may require a learning curve for developers who are not familiar with NoSQL concepts and query syntax.
  • Not Suitable for Complex Transactions: MongoDB is not ideal for applications that heavily rely on complex transactions and require strict data consistency.
  • Less Mature Ecosystem: Compared to traditional relational databases, the ecosystem of tools and libraries for MongoDB is still evolving and may not be as comprehensive.
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FAQs on MongoDB Development

What is a MongoDB Developer? Arrow

A MongoDB Developer is a specialist in the MongoDB framework/language, focusing on developing applications or systems that require expertise in this particular technology.

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