EndorsedendorsedOngoing

Staff Augmentation for Real Estate Platform

Services Covered:

Staff Augmentation
Project hero — replace with case study imagery
Industry
Industry

Real Estate

Duration
Duration

115 months

Budget
Budget

Confidential

Client Size
Start Date

1 January 2017

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable Andersen Lab is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Cian.ru

mapMoscow, Russia

Project Summary

Andersen provides developers to Cian.ru, a high-load real estate portal, building and maintaining microservices in C#, Python and JavaScript while working alongside in-house teams. The engagement follows Scrum, produces a well-functioning platform, and has led to continued collaboration and planned team scaling.

Key Challenges

  • Integrate Andersen developers into the client's internal teams via an outstaff model
  • Create the best platform for users who buy, sell, or rent real estate

Project Deliverables

  • Microservices (200+)
  • Frontend and backend components
  • Augmented development team (1 Backend Python, 6 Frontend React)

Project Solution

Andersen was engaged on an outstaff model to supply developers who work alongside the client's internal teams. They integrated into the high-load Cian.ru portal, contributing to a microservice architecture of over 200 frontend and backend services written in C#, Python and JavaScript. The vendor provided one Python backend developer and six React frontend developers and delivered work following Scrum.

Project Outcome

  • A well-working real estate platform that meets the client's functionality goals
  • Continued collaboration with plans to scale the team
  • Effective Scrum-based workflow with regular monthly feedback exchanges

Platforms

  • WebWeb

Tech Stack

  • C#C#
  • PythonPython
  • React.jsReact.js
  • Vanilla JSVanilla JS

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The platform meets the client's functionality goals, leading to more work with a scaled-up team with Andersen. The team uses Scrum methodology to quickly deliver high-quality work. Regular feedback and a cohesive team structure make for a smooth workflow.

Mike Yumatov

Head of Development

Note: This endorsement is based on publicly available client feedback from external review sources.

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