# Manoj Rupireddy

> Software Engineer

Location: Mountain View, California, United States
Profile: https://flows.cv/manojrupireddy

Distributed Systems | Cloud Infrastructure | Backend Development

Skills:
Languages: Java, Go, Python, C++
Databases: Redis, Postgres, Druid
kubernetes
Observability monitoring : PromQL, Grafana, Datadog
Machine learning, Deep learning

## Work Experience
### Software Engineer @ Glean
Jan 2026 – Present

### Software Engineer @ Confluent
Jan 2022 – Jan 2026 | Mountain View, California, United States

### Software Engineer @ Microsoft
Jan 2020 – Jan 2022 | Redmond, Washington, United States
– Lead project to enable fully auditable, attestable firmware for confidential virtual machines (CVM) – a new Azure Iaas offering for security-sensitive workloads. 

– Enhanced customer experience by developing Azure CLI extensions (Python) to prepare integrity protected OS disks, custom firmware and brought down VM pre deployment preparation time from 20minutes to 5minutes. 

– Designed diagnostics tools, remote logging and stress testing framework (Python) to easily identify root cause of intermittent VM deployment failures and improved deployment reliability to 90%. 

– Improved guest attestation report generation time and VM boot time by changing the firmware root file system from alpine to busybox and reducing filesystem size from 33MB to 18MB. 

– Developed mutually attested TLS client-server modules, and file encryption modules (In C++) which served as reference applications for customers on Intel SGX platform.

### Software Development Engineer Intern @ Amazon Web Services (AWS)
Jan 2019 – Jan 2019 | Greater Seattle Area
Built a web-based utility tool (in Python, ReactJS) to recommend optimal erasure coding parameters for a given workload access pattern on AWS S3 using Amazon API gateway and AWS Lambda services.

### Software Engineer @ Qualcomm
Jan 2016 – Jan 2018 | India
– Enabled secure operating system on automotive chip sets using ARM Trust zone technology.
– Implemented access control APIs to protect memory regions exposed to subsystems on a SOC.

### System Software Engineer @ Hewlett-Packard
Jan 2014 – Jan 2016 | India
– Designed algorithms to report undersized and oversized virtual machines for data center monitoring and capacity planning.Built monitoring dashboards to get a real-time view of a datacenter. 
– Decreased metric propagation delay by transitioning to event-based collection from periodic polling. 
– Designed and developed VM placement algorithms through demand forecasting, and bin-packing techniques. Optimized placement requests’ response time from 25 seconds to 5 seconds by reducing database queries required to build the resource graph.


## Education
### Bachelor's degree in Electrical, Electronics and Communications Engineering
NIT WARANGAL

### Master's degree in Computer Science
Texas A&M University


## Contact & Social
- LinkedIn: https://linkedin.com/in/manoj-rupireddy

---
Source: https://flows.cv/manojrupireddy
JSON Resume: https://flows.cv/manojrupireddy/resume.json
Last updated: 2026-04-11