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Irene Chang

@irenechang

Senior software engineer specializing in scalable SaaS platforms and distributed systems.

United States
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What I'm looking for

I seek roles building scalable, high-availability SaaS platforms where I can drive reliability, performance optimization, and cloud-native infrastructure at enterprise scale.

I am a Senior Software Engineer with 14+ years building enterprise SaaS platforms, high-availability distributed systems, and cloud-native infrastructure. I design and deliver scalable frontend and backend solutions that improve reliability and latency at global scale.

At Slack/Salesforce I led full-stack development of fault-tolerant messaging and channel services, implemented distributed event-driven microservices in Java and Kotlin, and reduced p95 latency by 25% under peak traffic. I also built real-time pipelines with Kafka and high-performance React/TypeScript components for the web client.

Previously at AppDynamics and Workday I architected high-throughput metrics ingestion pipelines, analytics services for anomaly detection, and core backend services for enterprise HR and monitoring platforms. I migrated monoliths to Kubernetes, implemented CI/CD, and improved observability with Prometheus, Grafana, and OpenTelemetry.

I prioritize operational excellence, security, and scalability—integrating OAuth2/SSO, cloud KMS, and compliance alignment (SOC2, GDPR). I collaborate across product, QA, and platform teams to deliver resilient systems and measurable performance improvements.

Experience

Work history, roles, and key accomplishments

Slack logoSL
Current

Senior Software Engineer

Jul 2019 - Present (6 years 8 months)

Led full-stack development of scalable, fault-tolerant messaging and channel services supporting millions of concurrent enterprise users; reduced p95 message delivery latency by 25% and improved incident resolution time by 30%.

AppDynamics logoAP

Software Engineer

AppDynamics

Aug 2015 - Jun 2019 (3 years 10 months)

Architected core backend services and high-throughput metrics ingestion pipelines processing millions of events per minute, reducing query latency by 40% and improving alert accuracy for enterprise customers.

Education

Degrees, certifications, and relevant coursework

Cornell University logoCU

Cornell University

Bachelor of Science, Computer Science

2008 - 2012

Completed a Bachelor of Science in Computer Science with coursework and projects focused on software engineering, systems, and distributed computing.

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