IT Staff Augmentation Services
Most of our engineers have already built something close to what you need. They've used your tech stack in production, dealt with similar scale, fixed the bugs you're probably going to hit. We match you quickly because we already know who's good at what.
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Top Rated
Company -
800+ projects
Trusted by Startups & Enterprises Worldwide
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97% retention rate
They Stay Because
It Works
What Problems Does Staff Augmentation Solve?
Staff augmentation handles situations where traditional hiring is too slow, too risky, or too permanent. You get experienced people without the usual headaches.
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Hiring Takes Way Too Long
You posted the job weeks ago. Most candidates can't actually do what they claim. The good ones get offers elsewhere while you're still scheduling second interviews.
We connect you with developers who are available now and already passed technical screening. You skip the pile of bad resumes and talk to people who can actually handle the work.
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Your Team Doesn't Have The Skills You Need
Nobody on your team has built what you're building. They're learning as they go, which means mistakes and delays. Training someone takes months you don't have.
Our staff augmentation team finds developers who've already built similar things. They know the patterns, they've hit the problems before, and they don't need to learn on your time.
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Full-Time Feels Like Too Much
Maybe the project is temporary. Maybe your budget is tight. Maybe you're just not sure yet how much help you'll need long-term. Hiring someone permanently feels risky when things could change.
Technical staff augmentation lets you bring someone in for however long makes sense. Three months, six months or a year. If things change, you're not stuck.
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Everyone's Completely Overloaded
Your team is working nights and weekends. Bugs are piling up. Code reviews take forever. People are tired and starting to look for other jobs. You need help yesterday, but traditional hiring is a months-long process.
We can get someone onboarded in under a week. Your team gets actual support before burnout becomes turnover.
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Freelancers Didn't Work Out
You tried hiring freelancers. Some disappeared. Others couldn't keep up with your pace. The good ones were juggling three other projects and couldn't give you proper attention.
Staff augmentation gives you dedicated developers who work your hours and show up to your meetings.
Why Staff Augmentation Works
Traditional hiring means weeks of posting jobs, screening resumes, scheduling interviews, and hoping your top choice accepts. Software development staff augmentation skips most of that. We already know who's good and who's available.
The developers we connect you with have already built features like yours. They've worked with your tech stack in production. They've seen what breaks at scale and know how to prevent it.
This isn't outsourcing where you hand off a project and hope for the best. The developers join your team. They work your hours, use your tools, follow your processes, and report to your managers.
No recruiting fees. No benefits packages. No payroll setup. No equipment procurement. No HR paperwork. We handle all of that. You just get someone who shows up and does the work.
Hiring someone full-time is expensive and permanent. If they don't work out, you've spent months and a lot of money on someone you now have to let go. Software development team augmentation lets you course-correct quickly.
Not sure if you need this role long-term? Work with someone for a few months first. If they're great and the role makes sense permanently, hire them. Many of our placements end up converting to full-time because both sides already know it works.
When everyone's overloaded, quality drops and people burn out. Bringing in experienced help means your existing team can focus on what they do best instead of scrambling to cover everything.
Maybe you're not in a tech hub. Maybe the specific expertise you need is rare. IT team augmentation gives you access to talent anywhere, not just who happens to live nearby and is currently job hunting.
Choose the Cooperation Model That Will Bring the Most Value to Your Business
The difference between these engagement models comes down to three things: who manages the work, how integrated developers are with your team, and how much flexibility you get to change direction. Everything else flows from there.
Engineers Who've Already Solved
Your Problems
React experts. DevOps specialists. AI engineers. All levels, all stacks. People who've worked on projects like yours and know what actually works.
How Staff Augmentation Works
Getting the right people on your team shouldn't be complicated. Here's how our IT staff augmentation works.
DAY 1
We talk about what you're building and what skills you need. Just a conversation about your project, timeline, and the kind of person who'd fit your team.
DAYS 2-4
We go through our network and find developers who've worked on projects like yours. We're looking for people with the right technical background and experience. You get a shortlist of two or three candidates.
DAYS 5-7
You talk to the candidates we've matched. Ask technical questions, check communication style, see if they'd work well with your team. We've already vetted their skills, you're deciding on fit.
WEEK 2
Once you pick someone, we handle contracts and setup. The specialist joins your team, gets access to your tools, and starts working. They attend your meetings and follow your processes like any other team member.
ONGOING
We check in regularly to make sure everything's running smoothly. Need to scale up or adjust? Things change, and we adapt with you.
The Hiring Process at Anadea
We screen hundreds. You meet the best few.
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18-21 days
average time from request to job offer
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98%
of new hires successfully pass the probation period
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30-40
positions closed every quarter
Initial contact and candidate screening
Technical interview and soft skills assessment
Practical task or code review
Interview with a project lead or a client
Job offer
Work With Top Talents
Only the best developers make it through our vetting. You get people who actually know their stuff.
Our tech stack
JavaScript
100+ projects
The backbone of dynamic web experiences and real-time functionality.
Examples:
- E-commerce platforms
- Live dashboards
- Interactive web apps
TypeScript
100+ projects
Enterprise-grade scalability with strict type safety for complex systems.
Examples:
- Large-scale SaaS platforms
- Financial tools
- Modular architectures
CSS3
180+ projects
Perfect for creating responsive designs and visually appealing apps using CSS3 features.
React
70+ projects
Our React JS development services are ideal for building fast, dynamic user interfaces.
Examples:
- Retail dashboards
- Booking systems
- Fintech apps
HTML5
180+ projects
Used for structuring web pages with HTML5 website template.
Vue.js
40+ projects
Vue.js development is about building lightweight and user-friendly interfaces.
Examples:
- Hotel bookings
- Delivery platforms
- Management tools
Next.js
30+ projects
Next.js development services are great for developing fast, SEO-optimized websites.
Examples:
- Marketing sites
- E-commerce
- Static content
Angular
20+ projects
Best suited for large applications, Angular development services ensure advanced features and scalability.
Examples:
- CRMs
- E-learning platforms
- Logistics systems
Vaadin
20+ projects
Streamlined Java-powered web apps with rich UI components for rapid enterprise solutions.
Examples:
- Internal admin panels
- Data-heavy enterprise tools
Hilla
10+ projects
Modern full-stack synergy: TypeScript frontends + Java backends for seamless end-to-end workflows.
Examples:
- Real-time analytics dashboards
- B2B platforms
- Collaborative tools
Ruby on Rails
110+ projects
Our journey began with Ruby on Rails, and it’s still one of our strongest suits.
Examples:
- E-commerce platforms
- Social networks
- SaaS tools
Python
40+ projects
Flexible and powerful, ideal for data-heavy applications.
Examples:
- AI/ML platforms
- Data analytics tools
- Automation systems
Golang
15+ projects
Golang development services are ideal for creating fast and scalable backend systems, especially for distributed environments.
Examples:
- Cloud platforms
- DevOps tools
- Backend systems
Java
60+ projects
Enterprise-grade backend solutions with robust performance and scalability.
Examples:
- Financial systems
- Large-scale CRMs
- E-commerce platforms
Kotlin
30+ projects
Modern, concise, and interoperable with Java, perfect for Android apps and backend systems.
Examples:
- Mobile banking apps
- API-driven platforms
- Microservices
Scala
20+ projects
Scala development provides a high level of parallelism and ensures seamless operation with big data tools.
Examples:
- Analytics systems
- Recommendation engines
- Ad platforms
SpringBoot
30+ projects
Rapid development of production-ready backend systems with minimal configuration.
Examples:
- Cloud-native apps
- RESTful APIs
- Enterprise-grade platforms
JavaScript
80+ projects
Versatile and dynamic, powering both frontend and backend for full-stack solutions.
Examples:
- Real-time dashboards
- Collaborative tools
- Interactive web apps
Node.js
50+ projects
Node.js development services are widely used for real-time communication and lightweight server solutions.
Examples:
- Collaborative tools for teams
- Video streaming platforms and real-time dashboards
Next.js
30+ projects
Next.js development services are great for developing fast, SEO-optimized websites.
Examples:
- Marketing sites
- E-commerce
- Static content
PHP
20+ projects
PHP development is perfect for building robust web applications with built-in tools for authentication.
Examples:
- Online marketplaces
- Event booking platforms and CRM systems
FastAPI
15+ projects
High-performance APIs with asynchronous capabilities for modern web apps.
Examples:
- Real-time data processing
- Microservices
- Scalable backends
Flutter
30+ projects
Delivers high-performance apps with Flutter app development using a single codebase.
Examples:
- Delivery apps
- Booking platforms
- Travel tools
Kotlin
40+ projects
Kotlin app development services are a top choice for building Android apps due to their full compatibility with modern Android features.
Examples:
- Mobile banking apps
- Online stores
- Ride-sharing platforms
Java
50+ projects
A proven choice for building robust and scalable Android applications.
Examples:
- Enterprise apps
- E-commerce platforms
- Productivity tools
Swift
30+ projects
A fast and secure way to build iOS apps through Swift app development.
Examples:
- Fintech tools
- Social networks
- Fitness trackers
Objective-C
20+ projects
Still used for maintaining older iOS apps, Objective-C development services ensure seamless updates for legacy systems.
Examples:
- Enterprise tools
- older app upgrades
React Native
50+ projects
React Native app development is a great choice for apps that need to work on both iOS and Android.
Examples:
- E-learning platforms
- Social apps
- Online stores
PostgreSQL
70+ projects
PostgreSQL is a powerful relational database that supports complex queries, ensuring strong ACID compliance.
Examples:
- Financial transactions
- Data analytics
- CRM tools
MySQL
100+ projects
MySQL services are efficient for structured data and high-read/write workloads in transactional systems.
Examples:
- E-commerce backends
- CMS platforms
- Scalable web apps
MongoDB
50+ projects
MongoDB excels at managing unstructured data and scales easily with your app.
Examples:
- Real-time data tools
- IoT apps
- Media libraries
Apache Solr
30+ projects
Apache Solr is a powerful tool for adding fast, accurate search features to apps that handle a lot of data.
Examples:
- E-commerce searches
- Document libraries
- Internal search engines
Redis
25+ projects
We use it for high-speed in-memory storage and real-time caching.
Examples:
- Real-time dashboards
- High-traffic web apps
Ruby
40+ projects
It is a versatile language for writing clean, maintainable test scripts.
Examples:
- Unit testing
- Integration testing
- Automation frameworks
Python
30+ projects
Python’s simplicity and rich ecosystem make it ideal for writing scalable test scripts.
Examples:
- API testing
- Backend validation
- Data-driven tests
Java
15+ projects
A robust choice for building comprehensive testing frameworks, especially for enterprise-level applications.
Examples:
- Selenium-based automation
- Performance testing
- End-to-end validation
Selenium
90+ projects
Selenium testing services automate browser interactions, helping ensure your app works across different browsers..
Examples:
- Cross-browser testing
- Automated UI checks
WebdriverIO
50+ projects
A flexible framework for modern end-to-end tests — perfect if you need to hire a WebdriverIO engineer. It works well with dynamic web applications.
Examples:
- Testing single-page apps
- Validating web animations
Cucumber
40+ projects
Cucumber in software makes testing easier for teams by using simple, plain language to describe test scenarios.
Examples:
- Checking user flows
- Validating business logic in apps
RSpec
30+ projects
A clear and easy-to-read framework for RSpec testing Ruby applications.
Examples:
- Unit tests
- Validating logic in Ruby apps
Pytest
25+ projects
Pytest is a lightweight framework for writing scalable, readable Python tests, streamlining the testing process.
Examples:
- Backend validation
- API testing
- Data-driven tests
Playwright
40+ projects
Playwright is an advanced tool for automating web tests. It supports multiple browsers and handles complex UI scenarios.
Examples:
- Testing interactive dashboards
- Multi-tab workflows
Apache JMeter
30+ projects
Apache JMeter is a powerful tool for testing how apps perform under heavy traffic or high demand.
Examples:
- Stress testing
- Measuring API speed
Locust
20+ projects
We simulate real-world traffic with Locust load testing to evaluate how your app handles multiple users at once.
Examples:
- Load testing mobile apps
- Checking backend performance
PyTorch
15+ projects
PyTorch is a flexible framework that’s great for experimenting with deep learning models and scaling them to production.
Examples:
- Image recognition
- NLP tasks
- Custom AI models for businesses
TensorFlow
20+ projects
TensorFlow is a powerful tool for building and deploying large-scale machine learning models, especially in production environments.
Examples:
- Speech recognition systems
- Recommendation engines
- AI chatbots
Transformers
10+ projects
Transformers enable state-of-the-art NLP, powering advanced text understanding and generation tasks.
Examples:
- Text summarization
- Language translation
- Conversational AI
Keras
15+ projects
What is Keras in AI development? Is a simple and user-friendly library for creating and testing machine learning models.
Examples:
- Small-scale neural networks
- Image classification
- Sentiment analysis
Pandas
45+ projects
Pandas is a must-have library for analyzing structured data. It makes data cleaning and preparation much easier.
Examples:
- Data transformation
- Time-series analysis
- ML data preprocessing
NumPy
30+ projects
NumPy is essential for performing fast mathematical computations and working with large data arrays.
Examples:
- Matrix operations
- Numerical simulations
- Preparing data for ML models
OpenCV
20+ projects
OpenCV is a reliable library for working with images and videos, especially in AI-powered solutions.
Examples:
- Face detection
- Object recognition
- Augmented reality
NLTK
15+ projects
NLTK is an easy-to-use tool for working with text in natural language processing projects.
Examples:
- Sentiment analysis
- Tokenizing text
- Summarizing documents
LangChain
10+ projects
LangChain is a handy framework for connecting language models with tools and systems to create more functional AI apps.
Examples:
- Conversational AI
- Chatbots
- Document-based search systems
LangGraph
5+ projects
LangGraph is a tool for visualizing how large language models interact and optimizing their workflows.
Examples:
- Debugging language models
- Visualizing AI processes
Matplotlib
30+ projects
Matplotlib is a straightforward library for creating charts and graphs to visualize data and model results.
Examples:
- ML model performance tracking
- Data analysis visuals
- Report generation
MLflow
10+ projects
MLflow helps manage everything from tracking experiments to deploying machine learning models.
Examples:
- Tracking model changes
- Version control for experiments
- Automating deployments
DVC
15+ projects
DVC is a simple tool for version control of datasets and machine learning models, making team collaboration easier.
Examples:
- Managing large datasets
- Tracking ML experiments
AWS
70+ projects
AWS cloud development offers a highly versatile platform for hosting, scaling, and managing applications.
Examples:
- E-commerce platforms
- Serverless applications
- Data processing pipelines
Microsoft Azure
50+ projects
Microsoft Azure is great for integrating cloud services with existing enterprise tools like Microsoft 365 and Active Directory.
Examples:
- Enterprise applications
- Hybrid cloud solutions
- Machine learning workflows
Google Cloud
40+ projects
GCP is a reliable platform for data-driven projects with strong AI and analytics tools.
Examples:
- Big data processing
- AI-powered applications
- Scalable web platforms
IBM Cloud
20+ projects
IBM Cloud is known for its focus on secure cloud environments and integration with enterprise-grade tools.
Examples:
- Financial services
- Data management
- AI model deployment
Oracle Cloud
15+ projects
Oracle Cloud specialized for database-driven applications and solutions requiring high performance and security.
Examples:
- ERP systems
- Database hosting
- Business intelligence tools
Digital ocean
10+ projects.
It provides scalable and developer-friendly cloud solutions, ideal for startups and SMBs.
Examples:
- Web app hosting
- Managed databases
- Kubernetes clusters
Technical Staff Augmentation That Works
-
48h
to shortlist candidates
-
2-3 weeks
to fill the position
-
95%
developer retention rate
-
92%
of middle+ and senior experts
-
500+
pre-vetted engineers ready
-
7+
years average client partnership
-
25+
years in the industry
Overall very satisified with the level of efforts and work from Anadea, and I would highly recommend their services. We get our money's worth and they are always good about staying up late to take meetings and help finish what is needed.
Contact us
Let's explore how our expertise can help you achieve your goals! Drop us a line, and we'll get back to you shortly.