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Backend engineer with 7 years building distributed systems at scale. Shipped the payments platform at Stripe (99.99% uptime, 12M txn/day). Looking for infrastructure work with real engineering rigor.
Led redesign of core payment authorization path, reducing p99 latency from 340ms to 118ms across 12M daily transactions.
Owned the migration of 7 legacy services to a unified Rust service mesh. Team of 4.
Mentored 3 junior engineers through promotion to SWE II.
Built real-time log ingestion pipeline processing 2.1TB/hr peak. Go + Kafka.
Reduced infrastructure costs $340k/yr through a bespoke compression scheme for metric storage.
Everything you need before you click apply.
Pick a template, drop in your story. Live preview, ATS-clean PDF & DOCX.
Open builder →Paste a JD, get a fit score in 10 seconds with the breakdown — and what to fix.
Score a resume →Tone-matched to the role and grounded in your resume. Edit, accept, send.
Write a cover letter →Templates that look hand-made.
Eight starting points — all ATS-clean. Pick one and edit, or drop a JD and let Applydeck tailor it for you.
Backend engineer with 7 years building distributed systems at scale. Shipped the payments platform at Stripe (99.99% uptime, 12M txn/day). Looking for infrastructure work with real engineering rigor.
Led redesign of core payment authorization path, reducing p99 latency from 340ms to 118ms across 12M daily transactions.
Owned the migration of 7 legacy services to a unified Rust service mesh. Team of 4.
Mentored 3 junior engineers through promotion to SWE II.
Built real-time log ingestion pipeline processing 2.1TB/hr peak. Go + Kafka.
Reduced infrastructure costs $340k/yr through a bespoke compression scheme for metric storage.
Led redesign of core payment authorization path, reducing p99 latency from 340ms to 118ms across 12M daily transactions.
Owned the migration of 7 legacy services to a unified Rust service mesh. Team of 4.
Mentored 3 junior engineers through promotion to SWE II.
Built real-time log ingestion pipeline processing 2.1TB/hr peak. Go + Kafka.
Reduced infrastructure costs $340k/yr through a bespoke compression scheme for metric storage.
Backend engineer with 7 years building distributed systems at scale. Shipped the payments platform at Stripe (99.99% uptime, 12M txn/day). Looking for infrastructure work with real engineering rigor.
Led redesign of core payment authorization path, reducing p99 latency from 340ms to 118ms across 12M daily transactions.
Owned the migration of 7 legacy services to a unified Rust service mesh. Team of 4.
Mentored 3 junior engineers through promotion to SWE II.
Built real-time log ingestion pipeline processing 2.1TB/hr peak. Go + Kafka.
Reduced infrastructure costs $340k/yr through a bespoke compression scheme for metric storage.
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