# Rasika Iyer

> Senior Software Engineer at Salesforce

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/rasikaiyer

## Work Experience
### Senior Software Engineer @ Salesforce
Jan 2024 – Present | San Francisco, California
• Develop and maintain a service that monitors AWS quotas and automatically submits increase requests across Salesforce Hyperforce, ensuring uninterrupted scalability for global customers
• Built and operate a deployment risk API used by Salesforce’s deployment service to determine whether production rollouts can proceed safely, reducing risk of service-impacting changes
• Provide technical support through internal channels, debugging complex infrastructure issues, guiding engineers, and expanding service coverage to GovCloud and GCP

### Software Engineer @ Salesforce
Jan 2022 – Jan 2024 | San Francisco, California
• Served as Incident Commander during high-severity outages, coordinating response across teams and reducing mean time to recovery (MTTR) for mission-critical services
• Designed and implemented dashboards for key services to improve operational visibility, enabling faster diagnosis of availability and latency issues
• Led post-incident reviews and introduced preventative measures to reduce recurrence of high-impact incidents

### Associate Software Engineer @ Salesforce
Jan 2021 – Jan 2022 | San Francisco, California
• Led “Game Day” fault-injection exercises to uncover service availability vulnerabilities, improving resiliency across multiple Salesforce applications
• Developed AWS-based fault injections (e.g., EC2 termination, network ACL blocking) using Terraform and Spinnaker, reducing single points of failure
• Partnered with teams across Salesforce to implement findings from chaos experiments, strengthening disaster recovery capabilities

### Software Engineering Intern @ Salesforce
Jan 2020 – Jan 2020 | San Francisco, California
• Built a proof-of-concept chaos engineering tool for Kubernetes services, enabling automated fault injection for resilience testing
• Implemented gRPC-based communication between backend and injector using Go and Kubernetes client libraries

### Software Engineering Intern @ Salesforce
Jan 2019 – Jan 2019 | San Francisco, California
• Created a CLI-based support chatbot for internal build tools, leveraging NLP techniques to parse developer queries and recommend relevant documentation
• Applied deep learning models to analyze logs, automatically diagnose common failures, and suggest recovery actions

### Data Science Intern @ DocuSign
Jan 2018 – Jan 2018 | San Francisco, California
• Predicted shipment dates using machine learning models (Naive Bayes, regression trees, k-nearest neighbors), improving forecasting accuracy and supporting product prioritization decisions.

### Solutions Developer Intern @ JFrog
Jan 2016 – Jan 2017 | Sunnyvale, California
• Researched and documented solutions for enterprise plugin and build-tool issues, and co-developed a Jenkins pipeline running 250+ Groovy-based unit/integration tests for Artifactory user plugins


## Education
### Applied Mathematics
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/rasika-iyer

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Source: https://flows.cv/rasikaiyer
JSON Resume: https://flows.cv/rasikaiyer/resume.json
Last updated: 2026-03-29