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Resume Retriever — New Grad SWE

New-Grad Backend SWE Resume — Austin, TX

Stand out for Austin SWE roles with ATS-safe formatting, quantified projects, and proof you can ship backend services.

Tailored for Austin startups and product teams

Resume Retriever mascot for Austin new-grad backend SWE resumes

What hiring managers scan for

  • Realism of projects: prod‑ish deployments (Docker + AWS), logs, metrics, CI.
  • Backend fundamentals: REST APIs, Postgres data modeling, caching, error handling.
  • Throughput + latency: req/sec under load, p95 response times, memory/CPU constraints.
  • Code quality: unit/integration tests, code reviews, PR hygiene, readable commits.
  • Internship or equivalent: internships, research labs, startups, hackathons, open source.

Common pains (and fixes)

  • No experience: ship two backend projects with live URLs, docs, and tests.
  • Project selection: CRUD + queue + cache beats a to‑do app; add auth and uploads.
  • GPA choice: include if ≄3.5 or for first 12–18 months; otherwise omit.
  • Internship gap: highlight lab work, open‑source PRs, or paid freelancing.

What to highlight

  • Prod‑ish deploys (Docker + AWS) and monitoring basics (logs/metrics).
  • API throughput at load and p95 latency after optimizations.
  • Testing depth (unit + integration) and code review practice.
  • Clear README with setup, migrations, and seed data.

Metrics to show

  • Throughput: sustained X req/sec on t3.small, zero errors during 10‑min load.
  • Latency: p95 improved from A.ms → B.ms after DB indexing/caching.
  • Coverage: unit test coverage ↑ to C% across core services.
  • Reliability: 99.9% uptime over 30 days on a hobby tier.

Before / After bullets

  • Before: Class API without load testing. After: Locust + k6 suite; stabilized at 1,200 req/sec with p95 140ms.
  • Before: N+1 queries. After: added indexes + joins → p95 −62%, API +2.1x faster.
  • Before: Manual deploys. After: Docker + GitHub Actions to AWS ECS; 1‑click rollbacks.
  • Before: Sparse tests. After: unit + integration tests; coverage to 78%, bugs caught pre‑merge.

Convert projects into impact by adding req/sec, p95 latency, and coverage deltas.

Keyword list by JD

Languages

Go, Java, C#, Python. Familiarity with concurrency and memory basics.

APIs & Data

REST, Postgres, migrations, transactions, indexing, Redis cache.

DevOps

Docker, AWS (ECS/EC2/Lambda), CI, logs/metrics, unit/integration tests.

How Resume Retriever works

  1. Paste an Austin backend SWE JD and your resume.
  2. We tailor bullets to the JD’s language, emphasize metrics, and keep ATS formatting clean.
  3. Export and apply — iterate quickly per role (from $2.99).

FAQs

No internship — what do I show?

Two production‑like projects with live URLs, tests, and load metrics can substitute well. Include any research, freelancing, or open‑source PRs.

Should I link GitHub?

Yes — pin the exact repos used in bullets, include a clean README, and add a demo link if possible.

Do I include GPA?

Include if ≄3.5 or within 12–18 months of graduation; otherwise optional. Austin hiring managers care more about projects and impact.

One page or two?

One page for new grads. Prioritize the most relevant projects and metrics.

Ready to tailor your resume?

Show you can ship backend services with real metrics — the way Austin teams evaluate junior talent.

Rewrite my resume — starts at $2.99