ValueLabs operates a 5,000-person services and platform business focused on agentic AI, product development, and data engineering. The tech stack reveals a data-infrastructure-heavy organization—Cloudera, Kafka, Spark, and Hive form the core—while active hiring is dominated by engineering (67 roles) with seniors filling most positions, suggesting they're scaling delivery on complex integration and data projects rather than building headcount broadly. The project list (real-time pipelines, SnapLogic workflows, Jira Service Management, test automation) tracks closely with their pain points (legacy migrations, scaling platforms, managing dependencies), indicating a services org managing simultaneous transformation engagements across multiple client stacks.
Tech Stack 200 technologies
What ValueLabs Is Building
◆Challenges
- Ensuring compliance with regulatory standards
- Scaling platforms
- Complex change management programs
- Data migration from legacy system to cloud hcm
- Adopting electronic payment solutions
- Integration-related issues
- Business transformation
- Managing dependencies across multiple source systems
- Large migration project
- Accelerating test execution
▲Active Projects
- Real-time data pipelines
- Ci/cd pipeline implementation for power bi reports
- Implementing jira service management
- Advanced search experiences leveraging sharepoint search and microsoft search apis
- Snaplogic integration workflows
- Integration platform development
- Scalable data integration pipelines
- Real-time data delivery
- Design system & component development
- End-to-end test automation framework
