Open to opportunities

Robert Dehghan

@robertdehghan

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Senior software engineer specializing in scalable backend systems and cloud architecture.

United States

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What I'm looking for

I seek challenging backend/platform roles focused on scalable distributed systems, strong DevOps culture, mentorship opportunities, and measurable impact on performance and reliability.

I am a Senior Software Engineer with extensive experience designing and implementing high-performance, scalable backend systems for large-scale products. I have led development of billing and analytics pipelines handling millions of users and streaming sessions, optimizing systems for latency, availability, and cost.

My core strengths are in Golang, distributed systems, microservices, event-driven architectures, and cloud-native deployments on AWS and GCP. I have a proven track record of reducing latency, improving reliability, and cutting operational costs through architecture improvements, CI/CD automation, and targeted optimizations.

I mentor engineers and drive best practices in observability, testing, and deployment strategies, delivering measurable improvements in productivity, system stability, and business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Google

Oct 2020 - Present (5 years 1 month)

Designed and implemented a Pay-As-You-Go billing pipeline for 10M+ users, reducing billing latency by 30% and revenue leakage by 15% while improving CI/CD and observability to cut incidents and MTTR significantly.

Golang Kafka gRPC MongoDB Redis Kubernetes CI CD AWS GCP

Software Engineer

Netflix

Feb 2018 - Aug 2020 (2 years 6 months)

Built a scalable VOD analytics platform processing 10M+ daily sessions and redesigned media services in Go to cut latency from 450ms to 180ms and reduce infrastructure costs by ~20%.

Golang Clickhouse RabbitMQ Redis Elasticsearch FFMPEG Kubernetes AWS

Full-Stack Developer

Accenture

Oct 2015 - Jan 2018 (2 years 3 months)

Developed 15+ enterprise web applications using Laravel and Vue.js, optimized MySQL to cut page load times from 4.2s to 1.3s, and automated deployments to reduce release effort by 80%.