Summary
Senior Full-Stack Engineer with 7+ years developing distributed cloud applications and high-throughput microservices. Architected systems handling 45k req/sec with 99.99% uptime using TypeScript, Go, React, and AWS. Passionate about developer tooling and performance optimization.
Experience
- Architected real-time event streaming pipeline processing 45M daily events using Kafka and Go, reducing data latency by 65%.
- Migrated legacy frontend to React 18 and Next.js, cutting initial page load time from 3.2s to 850ms.
- Mentored 6 junior/mid-level engineers and established weekly architectural review workshops.
- Built and maintained 14 customer-facing REST and GraphQL APIs serving 300k+ active SaaS subscribers.
- Implemented automated CI/CD deployment pipelines with Docker and GitHub Actions, shrinking release cycles from 3 days to 40 minutes.
- Optimized PostgreSQL query indexes, reducing p99 database latency by 42% across core billing flows.
Projects
High-performance in-memory key-value store built with Go and Raft consensus.
Education
Skills
Certifications
Languages
Contempo Resume Template
Dense contemporary column
| Struttura del Layout | Due Colonne / Ibrido |
|---|---|
| Compatibilità ATS | 98% (Testato dai Recruiter) |
| Consigliato Per | Tech, Aziendale, Finanza & Marketing |
| Formato File | PDF Vettoriale (Download dopo modifica) |
| Licenza | 100% Gratuito (Uso Personale & Commerciale) |
Perché Scegliere il Layout Contempo?
Il modello Contempo è stato calibrato per soddisfare le esigenze dei moderni processi di selezione nelle migliori aziende e startup.
Ottimizzato per Sistemi ATS
A differenza di grafiche complesse create con software di impaginazione, questo layout mantiene intatto l'ordine cronologico di lettura.
Formato Compatto a Pagina Singola
I recruiter dedicano pochi secondi al primo screening. Questa disposizione mette subito in risalto i tuoi risultati principali.
Esportazione in PDF Vettoriale Nitido
Genera direttamente un PDF vettoriale ad alta definizione, pronto per la stampa o l'invio via email.
Contenuto di Esempio Incluso nel Modello
David Chen — Senior Full-Stack Engineer
Profilo Professionale: Senior Full-Stack Engineer with 7+ years developing distributed cloud applications and high-throughput microservices. Architected systems handling 45k req/sec with 99.99% uptime using TypeScript, Go, React, and AWS. Passionate about developer tooling and performance optimization.
Esperienza Lavorativa
Senior Software Engineer at CloudScale Systems (Jan 2022 – Present)
- Architected real-time event streaming pipeline processing 45M daily events using Kafka and Go, reducing data latency by 65%.
- Migrated legacy frontend to React 18 and Next.js, cutting initial page load time from 3.2s to 850ms.
- Mentored 6 junior/mid-level engineers and established weekly architectural review workshops.
Software Engineer at Apex Digital Labs (Aug 2018 – Dec 2021)
- Built and maintained 14 customer-facing REST and GraphQL APIs serving 300k+ active SaaS subscribers.
- Implemented automated CI/CD deployment pipelines with Docker and GitHub Actions, shrinking release cycles from 3 days to 40 minutes.
- Optimized PostgreSQL query indexes, reducing p99 database latency by 42% across core billing flows.
Summary
Senior Full-Stack Engineer with 7+ years developing distributed cloud applications and high-throughput microservices. Architected systems handling 45k req/sec with 99.99% uptime using TypeScript, Go, React, and AWS. Passionate about developer tooling and performance optimization.
Experience
- Architected real-time event streaming pipeline processing 45M daily events using Kafka and Go, reducing data latency by 65%.
- Migrated legacy frontend to React 18 and Next.js, cutting initial page load time from 3.2s to 850ms.
- Mentored 6 junior/mid-level engineers and established weekly architectural review workshops.
- Built and maintained 14 customer-facing REST and GraphQL APIs serving 300k+ active SaaS subscribers.
- Implemented automated CI/CD deployment pipelines with Docker and GitHub Actions, shrinking release cycles from 3 days to 40 minutes.
- Optimized PostgreSQL query indexes, reducing p99 database latency by 42% across core billing flows.
Projects
High-performance in-memory key-value store built with Go and Raft consensus.