Sneha Gullapalli
Principal Software Engineer @ Dell Technologies | Certified Kubernetes Application Developer | AWS CCP | SWE Mentor
- Role
- Principal Software Engineer (Elastic Cloud Storage) at Dell Technologies
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Sneha Gullapalli
Principal Software Engineer at Dell Technologies specializing in large-scale distributed systems, observability, and cloud-native architecture. I currently work on Dell Elastic Cloud Storage (Object Scale), building telemetry-driven tools that power cluster monitoring, scalability, and operational intelligence across multi-node environments.With a Master’s in Computer Science from Kansas State University, I began my journey in machine learning research at the KDD Lab, publishing work in information extraction and exploring neural network–based predictive modeling. That foundation continues to shape my systems thinking today blending data, reliability, and performance at scale.My passion lies in designing resilient, high-impact systems that operate in production at scale. I thrive at the intersection of distributed architecture, microservices, and observability.building platforms that are not only scalable, but measurable and intelligent.Beyond engineering, I am deeply committed to mentorship and technical leadership. I actively mentor junior engineers and students, helping them grow in system design, backend engineering, and research directionI aspire to contribute meaningfully to the evolution of large-scale cloud systems and AI-driven infrastructure, while growing into a technology leader who builds both impactful systems and empowered 2017 Publication - On Cryptocurrency Price Prediction - https://krex.k-state.edu/bitstream/handle/2097/38867/SnehaGullapalli2018.pdf?sequence=1 & isAllowed=y
Experience
Principal Software Engineer (Elastic Cloud Storage)
Jan 2024 — Present · Austin, TX, US
Design and development of telemetry-driven observability solutions for Dell Elastic Cloud Storage (Object Scale), enabling real-time monitoring, alerting, and performance analysis across multi-node clusters. Implement scalable microservices and REST APIs that enhance control path reliability, cluster health visibility, and operational efficiency. Drive execution excellence through automation, production-readiness improvements, and cross-team technical mentorship within distributed cloud-native environments.
Education
Kansas State University
Master’s Degree, Computer Science
2016 — 2018
KPR & JL Siddhartha High School
High School
2006 — 2010
FIITJEE
Intermediate
2010 — 2012
VR Siddhartha Engineering College
Bachelor’s Degree, Computer Science
2012 — 2016
Skills
- Microsoft Office
- Python
- Bootstrap
- Javascript
- Object-Oriented Programming (Oop)
- .net Framework
- Sql
- Office 365
- Cascading Style Sheets (Css)
- Ruby on Rails
- Html
- Algorithms
- Data Structures
- Jquery
- Web Development
- C++
- C
- Programming
- Java
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