Pros
Strong learning opportunities in AI/ML, cloud, and data engineering. Exposure to modern technologies and enterprise-scale projects. Fast-paced environment helps accelerate technical growth. Smart and capable peers; good technical talent across teams. Flexible culture in some teams with decent ownership opportunities. Good platform for early-career professionals to build skills quickly. Certifications and upskilling initiatives are encouraged. Opportunity to work with global clients and cutting-edge use cases. Hybrid work setup and flexibility vary positively by team/project. Career growth can be fast for high performers.
Cons
Work-life balance can become difficult during high-pressure deliveries. Experience depends heavily on project allocation and immediate manager. Some teams reportedly face micromanagement and unrealistic timelines. Fast-paced culture may lead to long working hours at times. Bench/project staffing process can be inconsistent. Policies and growth structure may feel unclear for some employees. Communication and transparency from management can vary. Pressure to continuously upskill can feel intense. Job stability concerns and layoff discussions appear in some employee feedback. Hybrid/WFO expectations have become stricter over time according to some reviews.
