QualificationBachelors or Masters Degree in Computer Science (B.Tech/BE/M.Tech/MCA/MS)
Key Responsibilities
Application Development: Learn to design, write, deploy, and scale functional code structures to enhance high-tier cloud microservices and machine learning models.
Production Debugging: Isolate functional anomalies, run root-cause testing scenarios, and troubleshoot database or microservice issues in live enterprise cloud environments.
System Innovation: Invent and prototype creative technical solutions to counter scaling limitations across high-volume dataset aggregation pipelines.
Cross-Functional Operations: Brainstorm and cooperate on features in an open, highly agile ecosystem alongside principal software architects, data scientists, and UI/UX designers.
Data-Driven Optimizations: Continuously monitor and evaluate software usability metrics, applying statistical insights to refine platform responsiveness.
Skills & Eligibility
Academic Enrolment: Currently pursuing a full-time Bachelors or Masters degree program in Computer Science or tightly related technological branches.
Graduation Timing: Strictly passing out with the academic Class of 2026.
Academic Performance: Consistent academic track record holding a cumulative CGPA of 8.0 or above on a 10-point evaluation scale.
Availability: Ready to move or attend full-time, in-person operations at the Bangalore hub for a seamless block of 6 months.
Core Basics: Exceptionally clear understanding of baseline Computer Science concepts, complex data structures, algorithms, and modular object programming.
Academic or personal project exposure handling machine learning toolkits, AI models, or natural language processing elements.