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.

Get your dream team

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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

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You Get People Fast

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.

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You Work With People Who've Done This Before

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.

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You Stay In Control

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.

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You Skip The In-House Headaches

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.

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You Don't Burn Your Budget On Bad Hires

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.

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You Can Test Before Committing

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.

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Your Team Gets Breathing Room

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.

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You Access Skills That Are Hard To Find Locally

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.

What matters Staff augmentation Dedicated team Outsourcing
What it actually is You hire individual developers who become part of your existing team. They work exclusively for you but remain employees of the IT staff augmentation company. You get a complete team (developers + team lead) that works solely on your product long-term.  You contract a specific project to be delivered turnkey. The vendor handles all development from start to finish and delivers the completed result.
Time to start 1-2 weeks 3-4 weeks 4-8 weeks
Who runs the show You manage developers directly You set direction, team lead handles execution Vendor owns the process
How you work together Devs join your standups, use your tools, work in your sprints Regular syncs with team lead, established reporting cadence Milestone reviews and status updates
Scaling flexibility Add or drop people between sprints Adjust team size quarterly Locked into contract scope
What you control Everything – priorities, tasks, code reviews, deployment Strategic decisions and acceptance criteria Requirements and final sign-off
Knowledge stays where In your team and codebase Shared between you and the team With the vendor
What you're paying for Developer hours Full team package (devs + lead + infrastructure) Project delivery
Best when you need Extra hands on deck without hiring headcount An entire engineering unit without building it A finished product without running development
Integration level Developers become part of your team Team operates alongside yours Separate vendor engagement
Your time investment Daily management like any in-house dev Weekly alignment, monthly planning Bi-weekly check-ins
Risk level Low (easy to replace individuals) Medium (team dependency) Higher (vendor lock-in)
Commitment length Flexible – monthly or longer Long-term partnership (6+ months typical) Project duration (fixed end date)

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
Discovery

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
Matching

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
Interviews

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
Onboarding

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
Support

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.

  • 18-21 days

    average time from request to job offer

  • 98%

    of new hires successfully pass the probation period

  • 30-40

    positions closed every quarter

1

Initial contact and candidate screening

2

Technical interview and soft skills assessment

3

Practical task or code review

4

Interview with a project lead or a client

5

Job offer

Our tech stack

Frontend
Backend
Mobile app
Databases & Storages
QA & software testing
AI development tools
Cloud platforms

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
Read about React

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
Read about Ruby on Rails

Python

40+ projects

Flexible and powerful, ideal for data-heavy applications.

Examples:

  • AI/ML platforms
  • Data analytics tools
  • Automation systems
Read about Python

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
Read about Golang

Java

60+ projects

Enterprise-grade backend solutions with robust performance and scalability.

Examples:

  • Financial systems
  • Large-scale CRMs
  • E-commerce platforms
Read about Java

Kotlin

30+ projects

Modern, concise, and interoperable with Java, perfect for Android apps and backend systems.

Examples:

  • Mobile banking apps
  • API-driven platforms
  • Microservices
Read about Kotlin

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
Read about Scala

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
Read about Node.js

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
Read about Flutter

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
Read about Kotlin

Java

50+ projects

A proven choice for building robust and scalable Android applications.

Examples:

  • Enterprise apps
  • E-commerce platforms
  • Productivity tools
Read about Java

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
Read about Ruby

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
Read about Python

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
Read about Java

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

Case Studies

Team extension for Zillow Group's NYC marketplace

Location: USA Industry: Real Estate Achievements: 10-year tech partnership, achieved a 115% lead increase and now support 15M+ monthly visits
Team extension for Zillow Group's NYC marketplace

Extended QA team for TaskTag's construction management platform

Location: USA Industry: SaaS Achievements: 93% mobile and 80% web test coverage through 1,268 deployed tests
Extended QA team for TaskTag's construction management platform

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

quotes

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.

Avinash Ravishankar
Avinash Ravishankar
Senior Product Manager at TaskTag
Read the full review on Clutch check
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