How to Write a Resume That Clears Technical Screens
A good resume makes recruiter decisions easy. It should show what you built, why it mattered, and what changed because of your work — in a format that reads well at 10 seconds of scanning.
Write bullets using outcome language
Start with action, include system context, and finish with measurable impact. Generic bullets ('worked on backend APIs') are easy to ignore. Outcome-driven bullets ('reduced p95 API latency from 420ms to 85ms by replacing synchronous external calls with an async queue') are memorable and verifiable.
Use metrics responsibly: performance, latency, reliability, cost, conversion, or team productivity. If you do not have an exact number, use a range or a relative improvement. 'Reduced deployment time by roughly 40%' is better than no metric at all.
- Weak: Worked on backend APIs
- Strong: Built 12 Go APIs for checkout flows, reducing p95 latency by 38%
- Weak: Improved CI/CD pipeline
- Strong: Re-architected CI pipeline from 45-minute to 8-minute builds, saving 3 eng-hours/day
Tailor for each role in under 15 minutes
Mirror important keywords from the job description, but keep your wording natural. Match domain terms such as distributed systems, experimentation, or observability. Applicant tracking systems scan for keyword frequency, and recruiters scan for role relevance.
Reorder projects so the most relevant work appears first. If you are applying for a data engineering role, a Kafka/Spark data pipeline project should be the first bullet under your most recent role — not buried under frontend work.
Final Takeaway
Recruiters scan quickly. Make your impact obvious in the first 10 seconds, and your interview odds improve immediately. Tailor, quantify, and order by relevance — then stop over-engineering the formatting.