A complete, annotated resume for a mid-level software engineer. Every section is broken down — so you can see exactly what makes this resume land interviews.
Scroll down to see the full resume, then read why each section works.
Software engineer with 3+ years of experience building backend systems and developer tooling. Currently building observability infrastructure at Datadog, where I rebuilt the alerting pipeline to handle 50K concurrent monitor checks with a 62% reduction in false positives. Previously sole backend engineer at a Series A fintech startup.
Languages: Python, Go, TypeScript, SQL Infrastructure: AWS (ECS, Lambda, SQS), Kubernetes, Terraform, Docker Databases: PostgreSQL, Redis, DynamoDB, Kafka Frameworks: FastAPI, gRPC, React, GraphQL
Seven things this resume does that most software engineer resumes don’t.
It leads with years of experience and domain (“backend systems and developer tooling”), then immediately drops a concrete accomplishment with real numbers. No “passionate team player” or “results-driven professional.” A hiring manager knows within one sentence whether this person is worth reading further.
Instead of “Responsible for maintaining the alerting pipeline,” the first bullet leads with the outcome: “Rebuilt the alerting pipeline to support 50K concurrent checks.” The action verb + measurable result structure forces you to quantify what you actually accomplished, not just what you were assigned.
“Migrated from polling-based checks to streaming with gRPC” tells the reader Jordan evaluates tradeoffs, not just writes code. This is the single biggest thing that separates senior-track resumes from everyone else. You chose an architecture — not just implemented one.
At a Series A company, Jordan doesn’t just list tasks. The bullets show ownership: “sole backend engineer,” “designed from scratch,” “reduced infrastructure cost by $14K.” Small-company experience can read as more impressive than big-company experience — when you frame it as scope and ownership, not just a company name.
An open-source CLI tool with 340+ GitHub stars and 12K monthly Homebrew downloads isn’t decoration — it’s proof of craft. It gives interviewers something concrete to discuss instead of generic algorithm questions, and it signals genuine interest in engineering beyond the 9-to-5.
Not a wall of buzzwords. Organized into Languages, Infrastructure, Databases, and Frameworks — mirroring how job postings list their requirements. An interviewer can scan this in two seconds and confirm fit. This also helps ATS systems match your skills against the job description more accurately.
For engineers with real work experience, education is a checkbox, not a selling point. It’s at the bottom, taking up two lines, with no coursework list or GPA. The resume leads with what actually matters: what you’ve built and the impact it had. Notice there’s no “Relevant Coursework” padding — the experience section already proves technical depth.
The weak version describes a job. The strong version describes an accomplishment. Same work, completely different impression.
The weak version could describe anyone. The strong version is so specific that it could only describe one person — and that’s exactly what you want.
The weak version is a keyword dump with soft skills that don’t belong. The strong version is categorized, specific (AWS services named), and only lists tools the candidate has actually used in production.
This exact resume template helped our founder land a remote data scientist role — beating 2,000+ other applicants, with zero connections and zero referrals. Just a great resume, tailored to the job.
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