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ATS Resume — Software Engineer

The Keyword Families ATS Software Actually Filters On For Engineers

Languages, frameworks, cloud, and data — named explicitly, not folded into 'full-stack.' Then get a real 0-10 job-match fit score: @vustCvBot compares your public LinkedIn profile to an engineering job posting and names the exact missing keyword.

Paid on Free and Core, included on Pro. In Telegram, no card.Public LinkedIn profile + job URL · no resume upload
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Language / framework / cloud / data keyword familiesHow to list projects so they parseFit score from LinkedIn, not a file parser

Engineering-Specific

Generic ATS advice skips the part that decides engineering keyword matches

A posting rarely says 'strong technical skills' — it says '3+ years Go, Kubernetes in production, comfortable with gRPC.' A resume or profile that says 'built backend services' and stops there matches none of those specific tokens.

The fit-check below is tuned for technical profiles: it prioritizes stack and project proof, not a generic ICP framing.
Specimens

See the difference

A vague bullet vs a keyword-dense one, and a real posting's requirements against what the fit-check reports.

A vague backend bullet

Before

"Built and maintained backend services."

After — named stack + outcome + link

"Built the ingestion pipeline on AWS Lambda and Kinesis in Go, handling ~4k events/sec; github.com/you/pipeline." Four searchable tokens (AWS, Lambda, Kinesis, Go) plus a measurable number and a verifiable link.

A posting's real requirements vs the fit-check

Posting asks for

"3+ years Python, Kafka or another message queue, comfortable operating services in Kubernetes."

What the fit-check reports

matchingStrengths names the Python ownership; missingQualifications flags that Kafka experience "isn't named anywhere in the visible profile, even if it was used briefly"; actionPlan leads with adding Kubernetes to the headline as the single highest-leverage fix.

How to run the engineering fit-check

01

Open @vustCvBot with the button below and send your public LinkedIn profile URL.

02

Send the public LinkedIn job posting URL for the engineering role you're targeting.

03

Run the job-match check — paid on Free and Core, included on Pro.

04

Read the fit score, matching strengths, missing qualifications, action plan, and interview-prep angles — then run Profile Polish to fix the gaps.

This tool handles

  • A 0-10 fitScore for an engineering job posting, tuned to prioritize stack/domain/project proof
  • matchingStrengths and missingQualifications naming specific tech-stack keywords, not generic skills
  • An actionPlan pointing to the single highest-leverage fix — usually a missing keyword in your headline or About
  • interviewPrepAngles tied to the technical areas your profile evidence is thinnest on
  • A follow-up Profile Polish with a skillsToAdd list scoped to what your evidence actually supports

Not in scope

  • Reading a GitHub profile, a resume PDF, or a portfolio site directly — input is your public LinkedIn profile URL
  • Judging code quality, architecture decisions, or technical depth beyond what's written on your public profile
  • Simulating a specific company's take-home or technical interview process
  • A guaranteed callback — it closes the keyword/positioning gap, not the hiring decision

The deep-dive below covers the four keyword families, project structure, an ATS-safe skills matrix, and a second worked example by seniority level.

FAQ

Frequently asked questions

Which keywords matter most for an engineering resume?

Four families: languages (Python, Go, TypeScript), frameworks/runtimes (React, Django, Spring Boot), cloud/infra (AWS, GCP, Kubernetes, Terraform), and data/messaging (Postgres, Kafka, gRPC, GraphQL). Name the specific term from the job posting explicitly rather than folding it into a general phrase like 'modern web frameworks.'

Should I list every technology I've ever touched?

No. Listing fifteen technologies with equal weight buries the two or three a specific posting actually asked for. Put 2-3 years of hands-on tools first, and reorder or emphasize the ones that match the role you're applying to.

Why do project sections lose content to ATS parsers?

Table-formatted project grids (Project | Stack | Year as a literal table) are one of the most common places engineering resumes lose content, because table cells are frequently flattened or skipped entirely. Write the same information as plain text lines instead.

Does the job-match check read my resume file or my GitHub?

Neither. It compares your public LinkedIn profile URL against a public LinkedIn job posting URL. It doesn't fetch GitHub repos or accept resume uploads — if a project link lives only on GitHub, make sure it's also referenced in your LinkedIn profile text so the check can see it.

How is the fit-check different for engineers vs other roles?

The underlying model is instructed to prioritize stack, domain, and project proof against the job's stated requirements for technical profiles, rather than a generic or sales-style framing — so the gaps it surfaces for an engineer are tech-stack keywords and scope, not audience or ICP language.

What does it cost?

On Free and Core each job-match check is paid; on Pro it's included. Profile Polish (the fix for what the check finds) works the same way: paid on Free and Core, included on Pro.

Where next

Related Tools

ATS Checker (main)The full mechanism, ATS-parsing pitfalls, and a worked example.ATS Resume — Marketing ManagerCampaign metrics, channel keywords, and portfolio links for marketing roles.CV & Profile ReviewAudit a LinkedIn profile, polish positioning, generate a cover letter.Payment optionsSee exact prices and the Tribute card checkout.All tools

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