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Software Engineer resume example

An ATS-friendly software engineer resume example with writing tips. Use it as a starting point and edit it for free.

Tips for this resume

  • Lead each bullet with a strong past-tense action verb, such as built, reduced, or automated.
  • Quantify results with figures like latency, volume, cost, or uptime to show clear impact.
  • Keep each bullet under 25 words and focus on one accomplishment per line.
  • Tailor the skills section to match keywords from the job posting you are applying for.

Skills recruiters search for

  • Python
  • Go
  • JavaScript
  • SQL (PostgreSQL)
  • REST and GraphQL APIs
  • AWS (Lambda, S3, Kinesis)
  • Docker and Kubernetes
  • CI/CD (GitHub Actions, Jenkins)
  • Unit and integration testing
  • Git

Alex Morgan

Software Engineer | Backend Services, APIs, and Cloud Infrastructure
alex.morgan@email.com · +1 (415) 555-0137 · Austin, TX

Summary

Backend engineer with 6 years building scalable Python and Go services for healthcare and logistics platforms. Known for cutting latency, automating deployments, and mentoring engineers through code review and design docs.

Experience

Senior Software EngineerMar 2021–Present
Northside Health · Denver, CO
  • Redesigned patient scheduling API in Go, reducing p95 latency from 850 ms to 210 ms.
  • Built event-driven billing pipeline on AWS Lambda and Kinesis, processing 2.4M messages daily.
  • Automated CI/CD workflows with GitHub Actions, cutting average release time from 3 hours to 25 minutes.
  • Mentored four junior engineers through weekly code reviews and onboarding plans.
Software EngineerJun 2018–Feb 2021
Grupo Alba · Austin, TX
  • Developed Python and Django microservices powering inventory tracking for 120 warehouses.
  • Wrote PostgreSQL query optimizations that lowered nightly report runtime by 68%.
  • Containerized legacy services with Docker and Kubernetes, improving deployment reliability to 99.5% uptime.

Education

B.S. in Computer Science2014–2018
Riverbend State University

Skills

Python, Go, JavaScript, SQL (PostgreSQL), REST and GraphQL APIs, AWS (Lambda, S3, Kinesis), Docker and Kubernetes, CI/CD (GitHub Actions, Jenkins), Unit and integration testing, Git