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CoffeeBeans Tech Stack

Data and AI consulting for enterprise modernization

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

CoffeeBeans is a Bangalore-based technology consulting firm (201–500 employees) specializing in cloud, data, and AI transformation. The tech stack reveals heavy investment in data infrastructure (Spark, Snowflake, BigQuery, Redshift, Kafka) paired with emerging generative AI capabilities (LangChain, LlamaIndex, RAG adoption). Active hiring skews toward data (13 roles) and engineering (12 roles) across senior and mid levels, with stated pain points around data structuring, cost efficiency, and AI readiness—indicating clients face fragmented data estates and urgency to operationalize LLMs.

Tech Stack 76 technologies

Core StackJenkins Docker Ansible Kubernetes SonarQube Java Scala Python Apache Spark Go Databricks Snowflake BigQuery Redshift AWS Terraform CloudFormation Kafka MLflow Kubeflow LangChain RAG pandas NumPy Spring Boot Git GCP Azure Pub/Sub Kinesis+45 more

AdoptingLangChain RAG LlamaIndex

What CoffeeBeans Is Building

◆Challenges

Structuring data efficiently across various sources
Cost efficiency
Ai readiness
Complex data engineering engagements
Modern scalable data platforms
Batch and real-time processing
Faster go-to-market
Scalable data pipelines

▲Active Projects

Personalization
Fraud detection
Genai-powered solutions such as copilots, document processors, summarization agents, and intelligent assistants
Modern data platform design
Llm-based automation workflows
Ci/cd pipeline architecture
Etl/elt pipeline design
Ml/gen ai integration
Gen ai implementation projects
Scalable data architecture design

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Data

13

Engineering

12

Seniority

Senior

12

Mid

7

Lead

4

Principal

2

Notable leadership hires: Technical Lead

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About CoffeeBeans

CoffeeBeans Consulting delivers technology services across cloud infrastructure, data platforms, machine learning, and AI to mid-market enterprises. The firm targets BFSI, AgriTech, IT, eCommerce, and Supply Chain verticals, offering both fixed-scope projects and flexible on-demand staffing models. Core capabilities span cloud (AWS, GCP, Azure), data engineering (Spark, dbt-adjacent ETL/ELT), analytics (Snowflake, BigQuery), and newer AI/ML integration (LangChain, LlamaIndex). Active engagements center on personalization engines, fraud detection, modern data platform design, and generative AI implementations (copilots, document processors, intelligent assistants). Founded in 2017 as a partnership-structured organization.

HeadquartersBangalore, Karnataka

Company Size201–500 employees

Founded2017

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does CoffeeBeans use?

CoffeeBeans deploys Jenkins, Docker, Kubernetes for infrastructure; Spark, Kafka, Snowflake, BigQuery, Redshift for data; and Python, Java, Scala for application development. Recent adoption includes LangChain, LlamaIndex, and RAG for generative AI workflows.

What projects is CoffeeBeans working on?

Active work includes personalization engines, fraud detection systems, GenAI-powered solutions (copilots, document processors, summarization agents), modern data platform design, LLM-based automation workflows, and batch/real-time data pipeline architecture.