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Majesco Tech Stack
AI-native SaaS platform for P&C and L&AH insurance core systems
Majesco operates a cloud-native insurance platform built on Java, Oracle, and Azure AI/ML services, with active investment in AI workflow integration and RFP automation. The engineering-heavy hiring bias—22 of 41 open roles—combined with elevated support staffing (10 roles) and a focus on root-cause analysis and data-patch processes suggests the company is navigating high support demand while scaling product delivery, likely tied to managing complexity across 1,400+ customer implementations.
Tech Stack 65 technologies
Core StackOracle ServiceNow Jira Confluence Java Postman SonarQube Maven PL/SQL JavaScript SQL Subversion XML XSLT XQuery JSON WildFly JSP Servlet SOAP REST HTML HTTP Jakarta EE Azure AI Azure OpenAI Azure Machine Learning Azure Cognitive Search Azure Kubernetes Service Azure Cosmos DB+34 more
What Majesco Is Building
◆Challenges
- Modernizing legacy systems
- Conflicting delivery priorities
- Digitizing operations
- Root cause analysis for data patches
- Accelerating product launch
- System integration problems
- Low client satisfaction
- High support costs
- Complex data and production issues
- Scalability challenges
▲Active Projects
- Product upgrades
- Root cause analysis for data patches
- Policy administration implementations
- Data patch release process
- Saas program delivery
- Solution architecture for end customer in l&a space
- Custom policy application development
- Ui reports and screen design
- Ai workflow integration
- Rfp automation pilot
Hiring Activity
40 roles · 25 in 30d
Department
Seniority
Notable leadership hires: Lead Engineer
Company intelligence
