Digital experience engineering and cloud transformation for Fortune 500
Infogain is a 5,000+ person digital engineering services firm headquartered in Silicon Valley with delivery centers across the US, Europe, and India. The tech stack reveals a mature polycloud operation (AWS, Azure, GCP) with heavy Java/Spring backends, relational and NoSQL data stores, and emerging AI capabilities (GPT-4o, RAG, LoRA). Current hiring is engineering-heavy and skewed toward senior roles, with active work on network infrastructure, fraud detection, and data lake integrations — suggesting clients are scaling critical systems and Infogain is staffing accordingly.
Infogain delivers digital transformation services to Fortune 500 enterprises and digital-native companies across technology, healthcare, insurance, travel, telecom, and retail/CPG. The firm specializes in experience-led platform modernization using cloud, microservices, automation, IoT, and AI. It operates as a multi-cloud expert across AWS, Azure, and Google Cloud, with specialized practices in application management, RPA, Salesforce solutions, and business intelligence. The company maintains a hybrid delivery model across US locations (California, Washington, Texas, Seattle, Dallas) and international centers in the UK, Poland, and India.
Infogain uses Java, Spring Boot, Python, AWS, Azure, GCP, Oracle, SQL Server, MongoDB, DynamoDB, and Terraform for infrastructure. Recent additions include GPT-4o, RAG, and LoRA for AI-driven features, plus MindTickle for knowledge solutions and SonarQube for code quality.
Infogain serves technology, healthcare, insurance, travel, telecom, and retail/CPG sectors. It works primarily with Fortune 500 companies and digital natives on platform modernization, cloud migration, and digital experience engineering.
Infogain'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.