Mphasis Tech Stack

Applied technology services firm modernizing legacy systems with cloud and AI

IT Services and IT Consulting Bangalore, Karnataka 10,001+ employees Public Company

Mphasis is a 10,000+ person applied technology services company headquartered in Bangalore, publicly traded, delivering infrastructure modernization and digital transformation across banking, finance, healthcare, and tech sectors. The tech stack reveals a Microsoft-centric practice (Power Platform, Dynamics 365, Azure) paired with emerging AI/ML work (RAG, LLMs, generative automation), while actively replacing AWS and legacy systems like COBOL, SOAP, Oracle, and DB2. Engineering dominance in hiring (238 of 485 active roles, with 237 senior-level headcount) combined with projects around data migration, cloud adoption with GenAI automation, and legacy 'shrink the core' transformations shows Mphasis scaling delivery capacity for enterprise modernization workloads.

Tech Stack 200 technologies

Core StackPower Platform Power Apps Power Automate Power BI Azure Data Factory Dynamics 365 Databricks Python PySpark Delta Lake SQL Server .NET JavaScript Node.js React Angular GitHub Copilot Langchain Jira Confluence Appian Microsoft Dynamics 365 Dataverse Azure Logic Apps SQL Server Integration Services SQL Server Reporting Services Azure Azure Data Lake Storage Gen2 LlamaIndex SAFe+170 more

AdoptingRAG Windows Server Hyper-V TypeScript Next.js VMware ESXi nCino GCP+13 more

ReplacingAWS Oracle COBOL SOAP DB2+1 more

What Mphasis Is Building

◆Challenges

Legacy environments
Ensuring data governance compliance
Data migration
Integration challenges
Ensuring compliance with labor laws
Shrink the core
Process inefficiencies
Financial impact of errors
Designing cost-efficient data solutions
Performance and capacity planning

▲Active Projects

Critical banking client project
Data center consolidation and dc exit program
Data pipeline development
Migrating data asset to cloud using genai automation
Patch lifecycle management
Automation led infrastructure delivery
Build monitoring solutions
Front2back transformation
Pretraining and fine-tuning large language models
Service transformation

Hiring Activity

Accelerating480 roles · 300 in 30d

Department

Engineering

238

Ops

Data

Support

Finance

Sales

Security

Seniority

Senior

237

Mid

Lead

Junior

Manager

Principal

Intern

Notable leadership hires: Delivery Head, Salesforce Lead, Front-end Lead, Project Lead, Delivery Project Lead

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About Mphasis

Mphasis delivers application services, business process outsourcing, and digital transformation solutions to mid-market and enterprise clients across banking, finance, healthcare, and technology. The company's stated Front2Back (F2B) transformation methodology pairs customer-centric analysis with domain-specific frameworks to modernize legacy environments using cloud infrastructure, data platforms, and cognitive technologies. Current execution priorities center on data center consolidation, cloud migration, LLM training and fine-tuning, and infrastructure automation — all grounded in solving legacy technical debt and process inefficiencies. Global hiring spans 11 countries (India, US, Canada, Mexico, Argentina, Brazil, UK, Costa Rica, Singapore, Philippines, Spain), with majority headcount concentrated in engineering and operations roles.

HeadquartersBangalore, Karnataka

Company Size10,001+ employees

Hiring MarketsIndia, United States, Canada, Mexico, Argentina, Brazil, United Kingdom, Costa Rica

Frequently Asked Questions

What is Mphasis' tech stack?

Core stack: Microsoft ecosystem (Dynamics 365, Power Platform, Power Apps, Power BI, Azure). Data: Databricks, Delta Lake, SQL Server, Azure Data Lake Storage Gen2. Development: Python, PySpark, .NET, JavaScript, React, Node.js. AI/ML: LangChain, LlamaIndex, GitHub Copilot. Collaboration: Jira, Confluence. Currently adopting GCP, TypeScript, Next.js, and RAG patterns; replacing AWS, COBOL, SOAP…

What is Mphasis working on?

Active projects: Front2Back transformation methodology, data center consolidation and exit programs, cloud migration with GenAI automation, LLM pretraining/fine-tuning, data pipeline development, infrastructure automation, patch lifecycle management, and monitoring solutions. Core challenge: modernizing legacy environments while maintaining compliance and cost efficiency.