# Manoranjan Sriramagiri

> Staff Software Engineer @ Box |Storage |Streaming

Location: Santa Clara, California, United States
Profile: https://flows.cv/manoranjan

WOPI+|AWS|Distributed Systems|Microservices|Storage|Payment system|Streaming services|BigTable

## Work Experience
### Staff Software Engineer @ Box
Jan 2019 – Present | Redwood City, California
Building and scaling multi cloud content streaming and storage gateway for 100s of peta bytes of data at a net QPS/RPS (ingress and egress) of 10K+ with 99.95% available. 
Build, design and execute company’s multi-year storage initiatives.
Partnered with different companies to iron-out and realized complex protocols like wopi into key deliverables. 
Mentor engineers at different levels
Technologies: Java, Scala, AWS, GCP, VertX, K8, Terraform…

### Software Developer @ Ellie Mae
Jan 2016 – Jan 2019
(Java, Spring framework, AWS-ECS, DynamoDb, Route53, Cloudformation, Terraform, RDS, S3, Lambda)
Responsible for design and implementation of six microservices. Out of six, four are in production with 99.95 availability and zero downtime deployment strategies even during persistent layer maintenance
Payment service: 
•	Implemented as a restful GET endpoint which integrates with a third-party payment gateway to get a response of a HTML redirect page to the third-party payment gateway. 
•	Response from the gateway is captured via Webhook events and parsed to give a success or failure confirmation to user of their payment status. In the case of failure in downstream services dependent on this payment, payment is refunded to the user. 
•	To guarantee the refund, queues and dead-letter queues were utilized. Deployed in active-hot passive architecture
Document Processing Service: 
•	Exposed a restful POST endpoint, request contains list of document URLs to be converted, type to be converted to, destination for converted documents to be uploaded to & callback notification URL. 
•	Based on the priority of the enterprise, the request is pushed to different distributed queues to achieve resiliency.
•	Consumer of these queues utilizes blocking queues to implement the conversion service in Pub/Sub paradigm. An event in this pub/sub system can contain multiple documents to be converted and each document in the message is downloaded, converted and uploaded to destination. 
•	Service auto-scales up & down within a range of 500-1000 consumers based on queue depth. The service is an active-active deployment
Asset and Content management service (CMS): 
•	Built a disaster recovery strategy. Migration from in-house Kubernetes cluster to AWS ECS cluster with zero downtime using CI/CD pipeline. 
•	As product grew, requirements changed and data that needs to persisted is of relational in nature. Migrated database from DynamoDB to PostgreSQL with near 0 downtime.

### Software Intern @ Ellie Mae
Jan 2016 – Jan 2016

### Software Developer @ QLogic, a wholly owned subsidiary of Cavium, Inc.
Jan 2015 – Jan 2015

### Software Engineer @ Infosys
Jan 2013 – Jan 2014 | Hyderabad, Telangana, India


## Education
### Master's Degree in Computer Software Engineering
San José State University

### B.Tech in ECE
CVR College of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/manoranjansriramagiri
- GitHub: https://github.com/ManoranjanSriramagiri

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Source: https://flows.cv/manoranjan
JSON Resume: https://flows.cv/manoranjan/resume.json
Last updated: 2026-04-12