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Home › Software Engineer ATS Guide
Tech roles get huge numbers of applicants, so the ATS filtering is strict. This is what gets an SDE resume through.
Check my engineering resume →Strong engineers often write resumes an ATS can't read well. The usual culprits are skill matrices in tables, a tech stack tucked into a "Tools" sidebar with no context, and project descriptions that read like a changelog with no outcome. A person skimming the PDF copes fine. An ATS reads the extracted text instead, so the same resume can lose keyword credit or parse wrongly.
ATS compares your languages, frameworks and tools against the JD's required stack, and the exact name matters ("Node.js" vs "NodeJS" vs "Node").
A skill demonstrated in a project bullet ("built X using Y") counts for more than the same skill sitting alone in a skills list.
Terms like "distributed systems," "microservices," "high availability," or specific scale numbers are strong signals for mid-to-senior roles, as long as they're true for you.
A stack used in your current or most recent role or project generally counts for more than the same stack used several years ago.
Think "AWS" and "Amazon Web Services," "K8s" and "Kubernetes," "CI/CD" and "continuous integration." If the JD uses one form, use that form at least once, even if you use the shorthand elsewhere. Some ATS platforms match on meaning, but an exact match is still more reliable.
"Built and maintained a Python/FastAPI microservice handling 2M requests/day" earns keyword credit for Python, FastAPI, microservices and scale in one line, and a person reading it gets the point too. A skills list on its own can't do that.
Engineering work is easier to put numbers on than most fields: latency cuts, request volume, team size, uptime, users served. Use real numbers where you have them, and an honest approximate scale ("thousands of daily users") where you don't.
Tools you've used on the side, like a monitoring dashboard or a CI tool someone else set up, are worth listing if you really used them. Don't pad the list with technologies you can't talk about in an interview.
⚠️ Skill matrices with proficiency bars, star ratings, or colour-coded grids look sharp in a PDF viewer, and they're one of the most common reasons technical resumes fail to parse. Use a plain skills list, separated by commas or line breaks.
| Element | Recommendation | Why |
|---|---|---|
| Skills section | Plain list, grouped by category if needed (Languages / Frameworks / Cloud) | Visual proficiency bars and star ratings often fail to parse at all |
| Project links | GitHub and portfolio links as plain-text URLs instead of icon-only buttons | Icon-only links carry no extractable text for the parser to read |
| Code snippets | Never include actual code blocks in the resume body | Monospace blocks and special characters routinely break text extraction |
| Company & title | Standard, recognisable titles, with the common equivalent next to any internal title | Unusual internal titles ("Member of Technical Staff II") may not match standard title searches |
| Layout | Single column, reverse-chronological | Two-column templates with a skills sidebar are common in tech, and they often fail to parse |
💡 Applying to roles with a different stack focus, like backend, full-stack or infra? Reorder your bullets and skills list for each JD instead of sending one generic resume. It usually makes a big difference to the keyword match.
85 or above (Excellent) gives you the best shot at reaching a recruiter or hiring manager at most tech companies. SDE roles are competitive, so if you're in the 50–84 range, do a proper revision before you submit.
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