Resume Skills
Skills to Put on a Resume for a Software Engineer
Every software engineer resume claims “proficient in X”. What actually gets you an interview is proof: a repo, a pull request, a system you can explain under questioning. The skills below come straight from live software-engineer role data — here's what each one needs to prove, and where to get that proof.
The skills real Software Engineer postings screen for
Pulled from our Software Engineer role taxonomy — not a generic list. Each one names what a recruiter reads into it and, more usefully, how to actually back it up.
Python or JavaScript
Listing a language only matters if you can point to something it built — recruiters skim past “Python” unless there's a repo or project attached.
Evidence, not just a bullet: Link a GitHub repo with a script that solves a real problem — data cleaning, an API integration, a small app — with a README that explains what it does.
Systems-language proficiency (Go, Rust, C++)
Separates “can script” from “can build production infrastructure” — memory management, concurrency, and performance tradeoffs live here.
Evidence, not just a bullet: Link a repo with a project in Go, Rust, or C++ that does something non-trivial with concurrency or performance, and say what you optimized.
PostgreSQL or MySQL
Different from general “SQL” — this says you've operated a real relational database, not just queried one someone else set up.
Evidence, not just a bullet: Reference a schema you designed and deployed yourself, including an index or constraint you added and why.
AI-assisted coding
ToolIncreasingly what separates a modern engineer from one still coding like it’s 2015 — using an AI coding tool as a real force-multiplier, not a crutch.
Evidence, not just a bullet: Be specific about where AI tooling sped you up (boilerplate, test generation, refactors) and where you still reviewed or rejected its output — that judgment is the actual skill.
Docker
ToolShows you can ship something that runs the same on your laptop as it does in production — a basic but non-negotiable expectation now.
Evidence, not just a bullet: Link a repo with a Dockerfile you wrote and explain one non-obvious choice in it (a multi-stage build, a specific base image, a health check).
Git
ToolNot really a differentiator on its own anymore, but a messy Git history (force-pushes over main, no commit messages) is a real red flag recruiters notice.
Evidence, not just a bullet: Point to a repo with a clean, readable commit history — that's the evidence, more than the word “Git” on a line by itself.
Distributed systems design
Domain knowledgeA senior-leaning skill — says you can reason about failure modes, consistency tradeoffs, and scale, not just make one server work.
Evidence, not just a bullet: Describe one design decision you made under a real constraint (a latency budget, at-least-once vs. exactly-once delivery, a partition strategy).
AWS or Azure
Cloud fluency recruiters filter on almost by keyword-match — but “used AWS” and “architected on AWS” read very differently.
Evidence, not just a bullet: Name the specific services you’ve actually configured — e.g. set up an S3 lifecycle policy, wrote a Lambda, configured an IAM role — not just used passively.
Agile / Scrum Ceremonies
This is shorthand for “I've worked inside a real delivery cadence” — sprint planning, standups, retros — not that you've read the Scrum Guide.
Evidence, not just a bullet: Name the ceremony you ran or contributed to most (retro facilitation, backlog grooming) rather than just writing “Agile/Scrum”.
CI/CD Pipelines
Proof you think about how code gets to production safely and repeatedly, not just that it eventually works on your machine.
Evidence, not just a bullet: Link a pipeline config (GitHub Actions, GitLab CI) you wrote and mention what it automated — tests, linting, a deploy gate.
No experience yet? Here's what to do instead.
Without a software engineering job yet, your GitHub is effectively your resume. Recruiters and hiring managers routinely click through to linked repos — three small, well-documented, working projects beat one half-finished “big idea”. Prioritize proving the fundamentals (a language, clean Git history, one deployed thing) over listing every framework you've sampled.
Start building evidence
See all 122 Software Engineer challengesEvery challenge below is an AI-generated practice brief — not a real client engagement — that produces a submission you can point to as evidence for the skills above.
- DesignBeginnerNew
Greedy Delivery-Slot Assignment for a Munich Grocery Startup
Using the provided order history sample, rider roster, and manual dispatch baseline, design and implement a greedy slot-assignment algorithm in Python. The algorithm must (1) so…
- Greedy Algorithms
- Algorithm Analysis
- Python
Open coursework - CodeIntermediateNew
Ship a Knapsack Battery Allocator for Farm Sensors
Using the device specification (device-spec), the sensing-mode table (sensing-modes), the month of simulated farm days (simulated-farm-days), and the reference greedy heuristic …
- Dynamic Programming
- Algorithm Analysis
- C Programming
Open coursework - CodeBeginnerNew
Design an Effort-Aware Bike Routing Feature for Lisbon
Working only from the provided materials — the Lisbon street-graph edges (lisbon-bike-graph), the matching node coordinates and elevations (lisbon-graph-nodes), the 50 origin-de…
- Graph Algorithms
- Dijkstra
- Algorithm Analysis
Open coursework - AnalysisBeginnerNew
Is the Optimal Vet-Scheduling Feature Computationally Tractable?
Working only from the materials provided — the product feature specification, the de-identified internal record of the customer request, a representative one-day appointment dat…
- Np Completeness
- Complexity Theory
- Algorithm Analysis
Open coursework - AnalysisSeniorNew
Amortized-Analysis Investigation of a Production Telemetry Cache
Working only from the three provided materials — the de-identified incident record (incident-record), the representative cache source module (cache-source), and the recorded ope…
- Amortized Analysis
- Data Structures
- Algorithm Analysis
Open coursework - AnalysisIntermediateNew
Spectral Clustering Proposal for Customer Segmentation at Cadence
Using the provided customer usage sample, construct a similarity graph (k-nearest-neighbors with k=15 and Gaussian radial-basis-function edge weights), compute the normalized gr…
- Spectral Methods
- Linear Algebra
- Algorithm Analysis
Open coursework
Frequently asked questions
What skills should I put on a software engineer resume?
A language you can build with (Python, JavaScript, or a systems language like Go/Rust/C++), Git, and at least one piece of the deploy story — Docker, CI/CD, or cloud (AWS/Azure). List AI-assisted coding fluency too; it's increasingly expected, not optional.
How do I write a software engineer resume with no experience?
Link 2-3 finished repos with clear READMEs instead of listing frameworks. A small, working, well-explained project beats a resume line that just names a technology you used once in a tutorial.
How do I make a software engineer resume for freshers stand out?
Show the deploy story, not just the code — a Dockerfile, a basic CI pipeline, or a live deployed link. Most new-grad resumes stop at “it runs on my machine”; going one step further is a real, visible differentiator.
Do I need Docker and CI/CD if I’m applying for a junior role?
Not required, but they’re a real differentiator at the junior level precisely because most new grads skip them. Even a small project shipped with a Dockerfile and a basic GitHub Actions pipeline signals you think about deployment, not just code.
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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.
Portrait: photo by Donald Teel on Unsplash.