Work & Experience

Site Reliability Engineer focused on building solutions to keep CI/CD reliable and scalable for 2000+ engineers. Proven track record delivering projects impactful across business units on time, whether for compliance regimes or enhancing developer happiness and productivity.

• Reduced deployment time of main application by 62 percent, from 80 minutes to 30 minutes, by migrating to an in-house deployment system and evangelizing its adoption across 100+ microservices (Ruby, Python, Scala) company-wide through effective stakeholder communication, comprehensive on-call documentation, and clear leadership alignment
• Reduced high severity incidents by 40% in one month by designing and implementing a canary deployment system with a rotating Deploy Coordinator role, automated End-To-End (E2E) test execution, and Sentry monitoring for error detection with automatic rollback capabilities
• Enabled true Continuous Delivery by automating deployments to run hourly once CI pipelines passed, increasing deployment frequency from manual on-demand releases to 24+ automated deployments daily
• Scanned 100+ production container images daily across 100+ microservices by building a system using ElasticSearch to inventory running containers and Artifactory Xray for vulnerability scanning, which automatically created JIRA tickets for teams with remediation timelines based on CVE score to comply with PCI and FEDRAMP standards
• Implemented a commit message enforcement system across two source control platforms (Gitlab and Gerrit) using a FastAPI (Python) server with Prometheus monitoring and built compliance dashboards to track adoption metrics, ensuring all commits were linked to JIRA tickets for PCI, SOC2, and FEDRAMP audits
• Mentored an intern in designing and implementing a CLI tool to track a commit's CI/CD status across multiple platforms, reducing team debugging time by 80%. That intern later received a job offer as a software engineer at Palo Alto Networks
• Migrated a single Gitlab server to a High Availability deployment using the Gitlab Environment Toolkit, automating creation of AWS resources (EC2, RDS, ElastiCache, S3, VPC, IAM) via Terraform and provisioning via Ansible, with a phased migration approach to minimize downtime
• Built an automated flaky test detection system that would rerun failed CI builds, identify tests with non-deterministic behavior, and flag them for correction, improving build reliability for a test suite of 80,000+ tests growing at 5,000 tests per month
• Contributed to the open-source Gitlab Environment Toolkit (GET) by submitting a commit that resolved an environment-specific issue, enabling smoother adoption of Gitlab's recommended deployment patterns