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CoffeeBeans Tech Stack

Cloud and data transformation partner for BFSI, AgriTech, and eCommerce

Information Technology & Services Bangalore, Karnataka 201–500 employees Founded 2017 Partnership

CoffeeBeans is a Bangalore-based consulting firm built around cloud, data engineering, and AI/ML modernization for mid-market enterprises. The tech stack spans all three major clouds (AWS, GCP, Azure) plus a deep data infrastructure layer (Kafka, Spark, Flink, Airflow, dbt, Databricks, Snowflake, BigQuery), with recent project velocity concentrated on RAG pipelines, GenAI copilots, and LLM fine-tuning. Hiring is heavily data-skewed (10 of 17 open roles) and senior-weighted, signaling either aggressive scale of existing delivery or a shift toward higher-margin AI/data consulting engagements.

Tech Stack 95 technologies

What CoffeeBeans Is Building

Challenges

  • Data fragmentation across sources
  • Implementing security-first devops practices
  • On-premises kubernetes operations
  • Integration with data engineering workflows
  • Structuring data across multiple sources
  • Reducing time to market
  • Decrypting legacy systems
  • Connecting applications to data sources
  • Sales and marketing execution
  • Client experience and operational efficiency

Active Projects

  • Rag pipelines
  • End-to-end data platform architecture
  • Ml/gen ai integration
  • Genai-powered copilots
  • Llm fine-tuning for domain-specific use cases
  • Real-time analytics pipelines
  • Fraud detection
  • Personalization
  • Ci/cd pipeline architecture
  • Kubernetes platform operations

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Data
10
Engineering
4
Sales
2
Finance
1

Seniority

Senior
9
Mid
4
Lead
2
Principal
2
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About CoffeeBeans

CoffeeBeans Consulting delivers end-to-end cloud and data modernization services to mid-market organizations across BFSI, AgriTech, eCommerce, and supply-chain verticals. Founded in 2017, the firm operates from Bangalore with 201–500 employees and works across product development, application modernization, DevOps, infrastructure, and emerging AI/ML capabilities. Current project focus spans real-time analytics, fraud detection, personalization, and generative AI integration; internal pain points center on data fragmentation, legacy system decryption, and operational efficiency—typical of a services firm scaling delivery volume and client handoff complexity.

HeadquartersBangalore, Karnataka
Company Size201–500 employees
Founded2017
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does CoffeeBeans use?

CoffeeBeans deploys AWS, GCP, and Azure; orchestrates with Kafka, Pub/Sub, and Kinesis; transforms data via Spark, Flink, Airflow, and dbt; and builds ML/GenAI with MLflow, Kubeflow, LangChain, scikit-learn, XGBoost, and OpenAI/Cohere/Mistral APIs.

What is CoffeeBeans working on?

Active projects include RAG pipelines, GenAI-powered copilots, LLM fine-tuning for domain-specific tasks, end-to-end data platform architecture, real-time analytics, fraud detection, and Kubernetes platform operations.

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How this profile is built

CoffeeBeans'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.