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Software Engineer CV Example

Software engineering is one of the most in-demand roles in Indonesia, from startups to large enterprises. Recruiters and hiring managers look for proof of impact: features shipped, performance improved, and scale handled. This example shows how to write technical achievements with numbers, not just a list of technologies.

Professional Summary

Software engineer with 4 years of experience building web applications and backend services. Comfortable with Node.js, TypeScript, PostgreSQL, and CI/CD. Reduced API response time by 60% and led a migration to a modular service architecture used by 3 teams.

Replace numbers and names with your real data. An ideal summary is 2-3 lines and mentions one key achievement.

Key Skills

TypeScriptNode.jsReactPostgreSQLREST APIDockerCI/CDUnit TestingGitSystem Design Basics

Experience & Achievement Examples

Software Engineer

Example Tech Inc.

January 2023 - Present
  • Designed and shipped 3 API services handling 200k requests per day at 99.9% uptime.
  • Optimized database queries and caching, cutting main endpoint response time from 800ms to 320ms.
  • Wrote automated tests that reduced production bugs by 35% within two quarters.

Junior Web Developer

Example Digital Startup

July 2021 - December 2022
  • Built an internal dashboard with React and TypeScript used by 120 operations staff.
  • Collaborated with the product team to ship 15 features without schedule slips.

Notice the pattern: action verb + what was done + number or impact.

ATS Keywords

ATS systems match your CV against the job description. Make sure these keywords appear naturally in your CV when they are relevant.

software engineerfull stackAPIRESTdatabasetestingdeploymentagilescrumcode review

Tips for Software Engineer

  • lightbulbState the scale: number of users, requests per day, or data size.
  • lightbulbShow business impact, not just the list of technologies.
  • lightbulbPut a GitHub or portfolio link near the top of your CV.

Apply this example to your CV

Fill your data once, use it for every application. AI helps polish the language and tailor it to the target job.

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