Application Security Engineer
Resume Metrics

The Numbers Recruiters Look For

The Application Security Engineer resume metrics that earn a read: which numbers to use, what good looks like, and where to find each one. Built from 12 years of recruiting, including many years at Google.

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

Last updated: June 4th, 2026 · ~10 min read

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Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

From the author

Emmanuel Gendre, ex-Google recruiter

A recruiter's opinion on application security resume metrics

Every resume article hammers one line: put figures on what you did. Fine. The catch is they pull up right there and strand you outright.

Which figures earn a place on an application security resume? Where do you source them? And do they truly sway a hiring call?

Back in my screening days at firms like Google, a solid metric was often what swayed me toward yes. Not because the figure was big. What matters is engineers who track their work are often the ones who genuinely grasp how secure their apps really are. A good metric quietly signals to an employer you see what the role exists to protect, and that you delivered it.

Sorting which figures matter and phrasing them sharply is a good slice of what my resume writing service does for clients. Here I run through every metric worth putting on an application security resume: which ones belong, where to dig each out, and the way you tuck it inside a bullet so it stands as proof, not a tool dump.

Want a quick read of your draft first? Lob it over for one free look and I'll comb it myself.

Start here

Why metrics matter on an Application Security Engineer resume

As I walk through in my piece on how recruiters screen resumes, a review unfolds over a few stages. The recruiter usually owns the first two: a brief read of your profile summary, then a deeper look at your track record. Whatever survives, the hiring manager sends to the interview shortlist later.

So your figures draw two readers: one the recruiter, one the manager who would actually run your team.

The recruiter is no engineer, so the precise figure rarely lands with them. The hiring manager is the one who leans on it to gauge how far your work really moved. So a pair of things count: that a figure exists at all, plus that it's the sort an application security hiring manager respects.

These don't all pull equal heft, though. And if you fret your numbers look unimpressive, ease up: that's the bit that counts least.

Here is roughly what each is worth:

The logic

Which types of metrics to use
for an Application Security Engineer resume

Spend a bit of time in the Job Search Toolkit and you know I anchor every resume on a role profile. Quick recap: a role profile is the set of core competencies a given role expects you to cover.

Picture it as the measuring stick a recruiter runs your resume down. The application security engineer resume guide shows how that profile fixes what each section holds.

Every slice of that profile should sit on your resume, ideally your latest job, beside the metric that backs it best.

I label those clusters the metric types. There are six for an application security engineer, and each maps to its own corner of this role. The half-dozen:

The full list

The full list of Application Security Engineer resume metrics

There are six families of metric you can lean on to back your achievements as an application security engineer. Within each, I've chosen the five that pull the most weight with hiring managers and ranked them by priority. For each metric I show what it covers, what counts as average, good, and great, where you read it, and an example bullet you can borrow. Most already wait in tools you use daily: Snyk, SonarQube, your scanner output and pentest reports. The Application Security Engineer resume skills page covers the rest.

1

Vulnerability Management

Application security lives or dies on the vulnerabilities you close. These numbers show how fast you drove app risk down and kept it down.

Critical vulns open

High-severity app bugs left standing.

Benchmark

Averagemany
Goodfew
Greatzero

Measure with

Snyk SonarQube

Example bullet

Held open criticals at zero across the app portfolio.

Mean time to remediate

How fast a vuln gets fixed.

Benchmark

Averagemonths
Goodweeks
Greatdays

Measure with

Snyk Jira

Example bullet

Cut critical MTTR from 60 days to 7.

Vulnerabilities fixed

Findings remediated over time.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Snyk SonarQube

Example bullet

Closed 1,200 findings in the first year.

Backlog burned down

Open security debt cleared.

Benchmark

Averagegrowing
Goodsteady
Greatshrinking

Measure with

Snyk Jira

Example bullet

Burned the vuln backlog down 70%.

Reintroduction rate

Fixed bugs that come back.

Benchmark

Averagecommon
Goodlower
Greatrare

Measure with

SonarQube Snyk

Example bullet

Drove vuln reintroduction below 3%.

2

Secure Code Review & SAST

Catching bugs in code is the heart of application security. These show how much code you put under review and how clean the signal was.

SAST coverage

Share of repos under static analysis.

Benchmark

Averagepartial
Goodmost
Greatfull

Measure with

SonarQube Snyk

Example bullet

Brought SAST to 100% of production repos.

Findings triaged

Scanner results reviewed and routed.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

SonarQube Checkmarx

Example bullet

Triaged every SAST finding within a day.

False-positive rate

Noise the scanner throws off.

Benchmark

Averagehigh
Goodlower
Greatlow

Measure with

SonarQube Snyk

Example bullet

Tuned rules to cut false positives 60%.

Bugs caught pre-prod

Defects stopped before release.

Benchmark

Averagefew
Goodmost
Greatall

Measure with

Checkmarx SonarQube

Example bullet

Caught 9 in 10 security bugs before release.

Security gate

Builds blocked on real risk.

Benchmark

Averageoff
Goodpartial
Greatenforced

Measure with

SonarQube GitHub

Example bullet

Enforced a security gate that blocked critical findings.

3

Threat Modeling & Design Review

The cheapest bug to fix is the one caught at design. These show you got security into the design phase, not just the scan.

Designs reviewed

Features that got a threat model.

Benchmark

Averagefew
Goodmost
Greatall

Measure with

Confluence Jira

Example bullet

Threat-modeled every high-risk feature before build.

Threats identified

Design risks found and logged.

Benchmark

Averagead hoc
Goodtracked
Greatfull

Measure with

Confluence Jira

Example bullet

Logged 140 design threats in a quarter.

Design coverage

Share of new work modeled.

Benchmark

Averagepartial
Goodmost
Greatfull

Measure with

Confluence GitHub

Example bullet

Brought threat modeling to 90% of new services.

Issues caught at design

Risks killed before any code.

Benchmark

Averagesome
Goodmost
Greatmany

Measure with

Confluence Jira

Example bullet

Killed a dozen high-risk flaws at design time.

Mitigations built in

Threats closed by design change.

Benchmark

Averagefew
Goodmost
Greatall

Measure with

Confluence GitHub

Example bullet

Drove every critical threat into a built-in control.

4

Application Penetration Testing

A pentest is where an app meets a real attacker. These show what your testing turned up and how completely you closed it.

Apps tested

Applications put through pentests.

Benchmark

Averagefew
Goodmost
Greatall

Measure with

Burp Suite OWASP ZAP

Example bullet

Pentested every internet-facing app each year.

Findings closed

Pentest findings remediated.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Burp Suite Jira

Example bullet

Closed every critical pentest finding within the cycle.

Retest hold rate

Fixes that hold on retest.

Benchmark

Averagemixed
Goodmost
Greathigh

Measure with

Burp Suite OWASP ZAP

Example bullet

Hit a 98% clean retest rate on remediations.

Severity reduced

High-severity bugs driven down.

Benchmark

Averagehigh
Goodlower
Greatlow

Measure with

Burp Suite Snyk

Example bullet

Cut high-severity findings 80% year over year.

Time to remediate

How fast findings get fixed.

Benchmark

Averagemonths
Goodweeks
Greatdays

Measure with

Burp Suite Jira

Example bullet

Brought pentest remediation to under two weeks.

5

Dependency & Supply Chain

Most app code is code you never wrote. These show you got third-party and open-source risk under a tight process.

Dependency vulns cut

Known CVEs in dependencies.

Benchmark

Averagemany
Goodfewer
Greatfew

Measure with

Snyk Dependabot

Example bullet

Cut vulnerable dependencies 75% across services.

SBOM coverage

Services with a bill of materials.

Benchmark

Averagenone
Goodsome
Greatfull

Measure with

Trivy JFrog

Example bullet

Generated an SBOM for every production service.

Outdated dependencies

Packages behind safe versions.

Benchmark

Averagemany
Goodfewer
Greatfew

Measure with

Dependabot Snyk

Example bullet

Brought 90% of dependencies to current.

Patch cadence

How fast a CVE gets patched.

Benchmark

Averageslow
Goodsteady
Greatfast

Measure with

Dependabot Snyk

Example bullet

Patched critical CVEs within 48 hours.

Risky licenses caught

License risk caught in deps.

Benchmark

Averageuntracked
Goodlogged
Greatgated

Measure with

JFrog Snyk

Example bullet

Gated risky open-source licenses out of the build.

6

Security Champions & Secure SDLC

Application security scales through developers, not around them. These show you built security into how teams ship.

Security champions

Engineers carrying security in teams.

Benchmark

Averagenone
Goodsome
Greatmany

Measure with

GitHub Confluence

Example bullet

Stood up a champion in every product team.

Teams covered

Squads inside the secure SDLC.

Benchmark

Averagefew
Goodmost
Greatall

Measure with

GitHub GitLab

Example bullet

Brought every product team into the secure SDLC.

Secure-coding training

Developers trained on app security.

Benchmark

Averagemost
Good90%
Great99%+

Measure with

Confluence GitHub

Example bullet

Got secure-coding training to 95% of engineers.

Defects reduced

Security bugs shipped to prod.

Benchmark

Averagehigh
Goodlower
Greatlow

Measure with

SonarQube Snyk

Example bullet

Cut security defects reaching prod 65%.

Review adoption

Teams self-serving security review.

Benchmark

Averagelow
Goodgrowing
Greathigh

Measure with

GitHub GitLab

Example bullet

Drove security review into every pull request.

Which figures on your resume actually earn their place?

Most application security resumes list real metrics. The tough part is telling which ones a hiring manager rates and which slip by into noise. That's a tough call to make working solo.

Send it over instead.

Then I'll read your Application Security Engineer resume just as a recruiter would and return a tight list: which metrics to keep, which ones to drop, which to sharpen. Free, back to you inside 12 hours.

Get a Free Application Security Engineer Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

Want to read more first? See how the resume review works →

Qualitative metrics

What if my work didn't leave a number?

A missing number doesn't mean an empty result. When no figure fits, scope, direction, and what you owned still make the point. Each angle below walks you through doing it honestly, with a line worth copying.

1

Vulnerability Management

Program introduced

When to use it: there was no app vuln program before you

Example bullet

Built the application vulnerability program the org now runs on.

Backlog owned

When to use it: clearing the vuln backlog was yours

Example bullet

Owned the work that cleared a 900-finding security backlog.

Before / after direction

When to use it: bugs piled up but nobody tracked them

Example bullet

Tracked findings until the backlog stopped growing.

2

Secure Code Review & SAST

Review introduced

When to use it: code shipped unreviewed before you

Example bullet

Stood up the secure code review the team now runs.

Coverage owned

When to use it: rolling SAST out was yours

Example bullet

Owned the work that got every repo under static analysis.

Before / after direction

When to use it: scanners ran but nobody tuned them

Example bullet

Tuned the rules until the noise dropped and real bugs stood out.

3

Threat Modeling & Design Review

Practice introduced

When to use it: no one modeled threats before you

Example bullet

Built the threat modeling practice the team now follows.

Design review owned

When to use it: getting security into design was yours

Example bullet

Owned the push that put a threat model on every major feature.

Before / after direction

When to use it: designs shipped but no one reviewed risk

Example bullet

Worked the designs until flaws got caught before a line of code.

4

Application Penetration Testing

Testing introduced

When to use it: apps went untested before you

Example bullet

Stood up the application pentest program the org now runs.

Remediation owned

When to use it: driving findings closed was yours

Example bullet

Owned the work that closed a year of pentest findings.

Before / after direction

When to use it: findings came back but no one retested

Example bullet

Worked the fixes until the same bug stopped clearing retest.

5

Dependency & Supply Chain

Practice introduced

When to use it: no one watched dependencies before you

Example bullet

Built the dependency security process the team now follows.

Supply chain owned

When to use it: locking down dependencies was yours

Example bullet

Owned the work that got every service scanned for CVEs.

Before / after direction

When to use it: CVEs landed but no one patched them

Example bullet

Worked the pipeline until vulnerable dependencies stopped shipping.

6

Security Champions & Secure SDLC

Program introduced

When to use it: there was no champions program before you

Example bullet

Built the security champions program the org now runs on.

SDLC owned

When to use it: getting teams to own security was yours

Example bullet

Owned the rollout that put security into every team's workflow.

Before / after direction

When to use it: training ran but nobody followed up

Example bullet

Chased adoption until secure coding became the default.

Have an ex-recruiter gut-check your figures

A metric only helps if the reader buys it. Drop it here and I'll name the ones with weight and which a hiring manager will quietly skip past.

You get a recruiter-style screen of your application security resume plus a brief list of fixes. Free, sent over in 12 hours, read by me.

Get a Free Application Security Engineer Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

Want to read more first? See how the resume review works →

Frequently asked

Application Security Engineer resume metrics FAQ

Lean on qualitative metrics. A hard number reads best, yet scope and direction hold real weight by themselves. Saying you launched the team's first threat modeling practice, drove a critical backlog from hundreds to near zero, or set the security bar each pull request needs to clear all read as genuine impact, while none of them needs a number you lack. Those qualitative cards above give one worked example per type.

They can, when the estimate holds up and you can stand by it. Say you recall the critical backlog roughly halving after a remediation push, with no saved snapshot, "cut open criticals by about half" works fine. Reach to relative percentages when the raw figures stay private. The single firm rule: you have to take an interviewer along the way you reached the number.

Never. A bogus number caves the moment someone digs in, and application security numbers invite probing: any engineer in earshot can ask which scanner reported the finding or how you confirmed the fix. A single made-up stat can torpedo an otherwise strong interview. Fall back on a qualitative metric instead, it reads true and still holds up.

Not every line. Put a figure on two or three of your best bullets in your newest role, the lines a recruiter reads first. Drop one across every line and the genuine figures drown amid the noise, and you tip into filler. A few well-grounded metrics beats a screenful of filler.

Use whichever wins harder while staying square. A big relative move shows as a percentage ("critical vulns down 70%"); a large raw number stands by itself ("zero criticals across the portfolio"). Avoid a naked percentage with no baseline, since "improved security 40%" just raises the question of where. If you can, pair both: "cut critical findings 70%, from 40 to 12."

They do, plus the numbers sit nearer to reach than rookies expect. A vuln you fixed before and after, the count of repos you brought under SAST, the test coverage you added, or the findings you cleared off an app each lie within reach of an internship or a hackathon. Revenue figures miss the mark; proof your work changed the picture.

If the app is still live, a scanner like Snyk or SonarQube shows open findings, severity, and fix rates over the latest window, while your review history hands you coverage in a minute. Pentest results and incident totals live in your ticket tracker or report archive. If the app is long retired, give your best fair estimate and call it one.

Just one. A single bold figure up top, the criticals you shut down or your biggest remediation win, wins you those opening seconds of interest. Park the rest into the work-experience bullets to keep things skimmable. The application security engineer resume guide covers how to nail that summary.

Who wrote this

Built by an ex-Google recruiter

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Emmanuel Gendre

Former Google recruiter · 12 years · 1,500+ tech resumes rewritten

I screen application security resumes the same way I did at Google: against the role profile, against the JD, and against the bar real hiring managers set. The metrics on this page are the ones I tell my own clients to chase.

Read my full story →

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