echoloc
Get started
echoloc/ Companies/ Andela

Andela Tech Stack

Global tech talent platform scaling AI-powered services

IT Services and IT Consulting New York, New York 201–500 employees Founded 2014 Privately Held
andela.com LinkedIn

Andela connects software engineers across emerging markets to companies building at scale. The stack reveals an AI-first infrastructure shift: Python, FastAPI, and RAG sit alongside LLM tools (Azure OpenAI, Bedrock), while concurrent modernization efforts move legacy workloads to AWS. Hiring velocity is accelerating across engineering and product, with senior-level roles dominating — a pattern consistent with scaling AI products and managing client delivery complexity at enterprise customer density.

Tech Stack 82 technologies

Core StackPython Java AWS Kubernetes Kafka RAG FastAPI Ruby on Rails Ruby JavaScript C++ C# Go Rust Scala dbt Apache Airflow Dagster AWS Glue Snowflake Terraform Datadog AWS SNS AWS SQS AWS EKS Azure OpenAI Service Amazon Bedrock Aurora Athena GCP+49 more

What Andela Is Building

◆Challenges

  • Reducing hiring cost
  • Talent shortages in agenticdlc
  • Migrating legacy systems to cloud
  • Scaling ai chat systems to millions of users
  • Transitioning experimental research to production
  • Cost control for ai agents
  • Scaling ai solutions delivery
  • Ensuring predictable profitable engagements
  • Aligning local compliance with global accounting
  • Digital transformation skills shortages

▲Active Projects

  • Customized recruitment strategy
  • Modernization of legacy systems on aws
  • Ai avatar chat system
  • Multi-modal ai chat product
  • Ai-powered services and developer tools
  • Python sdks
  • Ai solutions using llms and rag
  • Delivery frameworks and governance structures
  • Scaling ai solutions revenue
  • Test automation for distributed cloud-based weather data services

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
6
Finance
3
Product
3
Sales
3
Ops
2
Data
1
HR
1

Seniority

Senior
12
Mid
3
Lead
2
Junior
1
Manager
1
Company intelligence

Find more companies like Andela by tech stack, pain points and active projects

Get started free

About Andela

Andela operates a distributed talent marketplace, matching engineers primarily in emerging markets with technology teams at established companies. The business model is talent-as-a-service: clients contract engineers for software development, system modernization, and increasingly, AI product delivery. The platform spans six continents, with active hiring in the United States, Egypt, Bulgaria, Indonesia, and Greece. Current project focus includes AI avatar systems, multi-modal chat, and production-grade LLM solutions, alongside traditional cloud migrations and test automation. Internal challenges center on unit economics — reducing hiring cost, ensuring profitable engagements, and scaling AI delivery margins — which maps directly to why engineering and senior product hires are accelerating.

HeadquartersNew York, New York
Company Size201–500 employees
Founded2014
Hiring MarketsUnited States, Egypt, Bulgaria, Indonesia, Greece

Frequently Asked Questions

What tech stack does Andela use?

Core: Python, Java, JavaScript, Ruby on Rails. Infrastructure: AWS (SNS, SQS, EKS), Kubernetes, Terraform, GCP. Data/AI: Kafka, dbt, Apache Airflow, Dagster, Snowflake, Azure OpenAI Service, Amazon Bedrock, RAG frameworks. Observability: Datadog.

What is Andela working on?

AI-powered services: avatar chat, multi-modal chat, LLM-based solutions with RAG. Infrastructure: AWS modernization of legacy systems, Kubernetes scaling, delivery frameworks. Developer tools: Python SDKs, test automation for cloud services.

Similar Companies in IT Services and IT Consulting

Other companies in the same industry, closest in size

N
NAVARA
IT Services and IT Consulting
A
Azumo
IT Services and IT Consulting
G
Globaldev Group
IT Services and IT Consulting
G
GBIT (Global Bridge InfoTech Inc)
IT Services and IT Consulting

How this profile is built

Andela's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.