Pros
Learning Opportunities: Interns get hands-on experience in real-time projects, especially in fields like time series forecasting, network analytics, and automation.
Supportive Team: The team is generally approachable, with seniors willing to guide you through technical challenges.
Exposure to Industry Tools: Good exposure to monitoring tools, AIOps, and data science pipelines used in enterprise environments.
Flexible Work Culture: Some flexibility in work timings and a positive environment for self-learners.
Startup Vibe: Opportunity to explore multiple domains and wear multiple hats, which is great for early-career growth.
Cons
Limited Documentation: Internal documentation can be sparse, making onboarding and understanding complex projects slightly challenging.
Workload Imbalance: Sometimes task allocations might not match your expertise or learning path.
Limited Formal Training: There might not be a structured training program for interns; much of the learning is self-driven.
Team Size: Being a growing company, resources may be limited in certain departments.