Security Engineer
Resume Metrics

The Numbers Recruiters Look For

The 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

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Ex-Google Recruiter
Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

A recruiter's opinion on security engineer resume metrics

Every resume guide repeats one rule: show numbers, not adjectives. Security work counts itself, from the vulnerabilities you shut down to the audits you got through, and yet a lot of engineers still toss out a tool list and quit.

So which numbers deserve a place on a security engineer resume? So where do you find each, and can one figure tip a hiring call?

Over years of recruiting, a good part spent at Google, the security engineers who landed offers made the security work pay off on paper: not “set up vulnerability scanning” but “took open criticals from 140 to zero and pulled remediation under 48 hours.” That second version wins the interview, since listing tools is easy and showing you removed real risk is the part most people skip.

Pinning down which figures earn their spot, then shaping them so a recruiter feels the weight, is a solid part of what my resume writing service does. Below I tackle each figure for a security engineer resume one by one: when to use it, where to pull it from, and how to slot it into one line.

Fancy a read before this goes out? I'll read the entire draft top to bottom, free.

Start here

Why metrics matter on a Security Engineer resume

I break down the hiring screen in its own article on how recruiters screen resumes, and it goes stage by stage. The recruiter takes the early stages, a brisk scan of your profile summary, then the recent roles you held. Next, a senior security engineer or the hiring manager goes deep and settles whether you can genuinely keep the organization secure.

So two readers look at your figures: the recruiter first, then the security lead who sees in a flash what a nil open-critical tally or an 80% cut in false positives actually demanded.

A recruiter glides past the figure; keywords are what they are after. The security lead placed over you reads “took open criticals from 140 to zero” and immediately sees the program it took. A win like that proves you cut real risk, rather than just running a scanner and logging a ticket.

They do not all pull the same weight. If yours look thin, no stress: for a security engineer, one real remediation or coverage number already beats a list of tools.

Roughly where the value sits:

The logic

Which types of metrics to use
for a Security Engineer resume

Put real time into the Job Search Toolkit and the routine is clear: I match each resume to the role profile. Quick note: a profile is the blend of abilities a role really screens for.

A recruiter checks you against it. The security engineer resume guide spells out what each section carries.

Every part of the security profile earns a line in the resume, set inside a recent role for preference, its backing number right there.

Those are the metric types. A security engineer keeps six, covering each major area the role spans. Here they are:

The full list

The full list of Security Engineer resume metrics

Six kinds of metric carry a security engineer resume, from open vulns through to audit findings closed. Within a type, the five that count for the most come first. Each card sets out what the metric measures, its average, good, and great tiers, where to read it from, plus a line you can lift. Most are a query off in the tools you already use: your scanner, your SIEM, your identity provider, and the ticket tracker. The Security Engineer resume skills page covers the rest.

1

Vulnerability Management

Unpatched holes are how most breaches begin, and a hiring manager knows it. These figures show you found the vulnerabilities and closed them fast.

Critical vulns open

Open critical findings driven down.

Benchmark

Averagemany
Goodfew
Greatnear zero

Measure with

Qualys Snyk

Example bullet

Cut open critical vulns 80% in two quarters.

Remediation time

Time to close a critical finding.

Benchmark

Averageweeks
Gooddays
Greathours

Measure with

Qualys Snyk

Example bullet

Brought critical remediation from 30 days to 4.

Scan coverage

Share of assets actually scanned.

Benchmark

Averagepartial
Goodbroad
Greatfull

Measure with

Qualys Snyk

Example bullet

Took vulnerability scanning to 100% of assets.

Patch rate

Share of the fleet fully patched.

Benchmark

Averagemost
Good95%
Great99%+

Measure with

Qualys Microsoft

Example bullet

Held patch compliance at 99% across the fleet.

Backlog burn-down

Open findings cleared over time.

Benchmark

Average-30%
Good-60%
Great-90%

Measure with

Qualys Snyk

Example bullet

Burned the vuln backlog down 85% in a year.

2

Detection Engineering

The job is catching an attacker before they do damage. These show you built detections that fired on real threats and stayed quiet otherwise.

Detection coverage

Share of techniques you can spot.

Benchmark

Averagepartial
Goodbroad
GreatMITRE-mapped

Measure with

Splunk Elastic

Example bullet

Mapped detections to 80% of MITRE ATT&CK.

Mean time to detect

How fast a threat is spotted.

Benchmark

Averagehours
Goodminutes
Greatinstant

Measure with

Splunk Elastic

Example bullet

Cut mean time to detect to under 5 minutes.

False-positive rate

Noise trimmed from the alerts.

Benchmark

Averagehigh
Goodlower
Greattuned

Measure with

Splunk Elastic

Example bullet

Cut alert false positives 70% by tuning rules.

Log coverage

Share of systems sending logs.

Benchmark

Averagegaps
Goodbroad
Greatfull

Measure with

Splunk Elastic

Example bullet

Got log coverage across every critical system.

Dwell time

How long a threat goes unseen.

Benchmark

Averagedays
Goodhours
Greatminutes

Measure with

Splunk Elastic

Example bullet

Brought attacker dwell time under an hour.

3

Identity & Access

Identity is where most attacks land now, so these numbers carry true weight. They prove you closed the easy ways in and kept access for the few who truly needed it.

MFA coverage

Share of staff and systems on MFA.

Benchmark

Averagepartial
Goodmost
Great100%

Measure with

Okta Microsoft

Example bullet

Rolled MFA to 100% of staff and systems.

Least privilege

Standing access cut to what is needed.

Benchmark

Averagebroad
Goodtighter
Greatenforced

Measure with

Okta Vault

Example bullet

Cut standing admin access 75% with just-in-time grants.

Privileged accounts

Admin accounts tracked and vaulted.

Benchmark

Averagesprawling
Goodtracked
Greatvaulted

Measure with

Vault Okta

Example bullet

Brought every privileged account into a vault.

Access reviews

How often access gets reviewed.

Benchmark

Averagead hoc
Goodyearly
Greatquarterly

Measure with

Okta Microsoft

Example bullet

Stood up quarterly access reviews the auditors signed off.

Joiner / leaver

How fast a leaver loses access.

Benchmark

Averageslow
Goodsame day
Greatinstant

Measure with

Okta Microsoft

Example bullet

Got leaver access cut within the hour.

4

Infrastructure Hardening

A breach often comes down to one thing left open. They prove the estate got hardened and the attacker's reach shrank.

Hardened baselines

Systems built to a secure standard.

Benchmark

Averagenone
Goodpartial
Greatenforced

Measure with

Microsoft Fortinet

Example bullet

Rolled CIS-hardened baselines to every server.

Attack surface

External exposure trimmed back.

Benchmark

Averagewide
Goodtrimmed
Greatminimal

Measure with

Palo Alto Fortinet

Example bullet

Cut the external attack surface 60%.

Patch compliance

Share of infrastructure patched.

Benchmark

Averagemost
Good95%
Great99%+

Measure with

Qualys Microsoft

Example bullet

Held infrastructure patching at 99%.

Config drift

Systems off the secure baseline.

Benchmark

Averagecommon
Goodrare
Greatnone

Measure with

Microsoft Vault

Example bullet

Drove config drift to zero with policy-as-code.

Exposed services

Internet-facing services closed.

Benchmark

Averageseveral
Goodfew
Greatnone

Measure with

Palo Alto Fortinet

Example bullet

Closed every needless service exposed to the internet.

5

Security Automation

The best security teams automate the repetitive response work. These show you built automation that handled the routine and freed the team for real threats.

Automated response

Alert types handled hands-off.

Benchmark

Averagenone
Goodpartial
Greatautomated

Measure with

Splunk Elastic

Example bullet

Automated response to the top 10 alert types.

Toil reduced

Manual triage hours taken back.

Benchmark

Average-20%
Good-50%
Great-80%

Measure with

Splunk Elastic

Example bullet

Cut manual triage 70% with SOAR playbooks.

Playbook coverage

Incidents with a ready playbook.

Benchmark

Averagefew
Goodgrowing
Greatfull

Measure with

Splunk Elastic

Example bullet

Built playbooks for every common incident.

Mean time to respond

How fast a real alert is actioned.

Benchmark

Averagehours
Good< 1 hr
Greatminutes

Measure with

Splunk Elastic

Example bullet

Brought mean time to respond under 15 minutes.

Manual alerts cut

Alerts closed without a human.

Benchmark

Average-20%
Good-50%
Great-80%

Measure with

Splunk Elastic

Example bullet

Cut manual alert handling 60% with auto-triage.

6

Risk & Posture

Leadership wants to know the org is getting safer, not just busier. These show you moved the security posture and shrank real risk.

Risk reduction

Open risks closed off.

Benchmark

Averageopen
Goodmanaged
Greatlow

Measure with

Qualys Microsoft

Example bullet

Closed the top 10 risks on the register in a year.

Security score

Posture score over time.

Benchmark

Averagelow
Goodrising
Greatstrong

Measure with

Microsoft Qualys

Example bullet

Lifted the cloud security score from 55% to 92%.

Audit outcomes

How security audits came back.

Benchmark

Averagefindings
Goodfew
Greatclean

Measure with

Microsoft Okta

Example bullet

Walked a clean SOC 2 audit two years running.

Phishing resilience

Staff resistance to phishing.

Benchmark

Averagehigh click
Goodlower
Greatlow

Measure with

Microsoft Okta

Example bullet

Cut phishing click rate from 18% to 3%.

Third-party risk

Vendor risk tracked and scored.

Benchmark

Averageuntracked
Goodreviewed
Greatscored

Measure with

Qualys Microsoft

Example bullet

Stood up vendor security reviews for every new tool.

Are your best security numbers even making the resume?

Security work produces numbers most teams never record: vulns closed, remediation time, audit findings closed, false positives trimmed. The snag is they vanish beneath a roll-call of every product you ever used. Hard to weigh on a draft you made.

Let me run an eye over it.

I'll read your Security Engineer resume as a hiring manager would and say which figures hold, which want sharpening, and which to scrap. Free, inside 12 hours.

Get a Free Security Engineer Resume Review

I review personally all resumes within 12 hrs

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Qualitative metrics

What if my work didn't leave a number?

A missing metric is not the end of it. With no number to point at, the work you handled and the calm it created still matter plenty. Each card below maps the path there and leaves you a line to borrow.

1

Vulnerability Management

Practice introduced

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

Example bullet

Stood up the vulnerability program the org now runs on.

Remediation owned

When to use it: driving down the backlog was yours

Example bullet

Owned the push that cleared a years-old vuln backlog.

Before / after direction

When to use it: vulns got patched but nobody tracked it

Example bullet

Tracked remediation until a critical sat open for hours, not weeks.

2

Detection Engineering

Practice introduced

When to use it: there was no real detection before you

Example bullet

Built the detections the SOC now alerts on.

Detection owned

When to use it: tuning the alerts was yours

Example bullet

Owned the work that turned a wall of noise into real signals.

Before / after direction

When to use it: coverage grew but no one mapped it

Example bullet

Mapped detections until a known technique no longer slipped by.

3

Identity & Access

Practice introduced

When to use it: there was no access review before you

Example bullet

Set up the access review the team now runs each quarter.

Access owned

When to use it: locking down identity was yours

Example bullet

Owned the cleanup that cut years of standing access.

Before / after direction

When to use it: access tightened but nobody audited it

Example bullet

Ran reviews until stale admin rights stopped piling up.

4

Infrastructure Hardening

Practice introduced

When to use it: no hardening standard existed before you

Example bullet

Set the baseline every system is now built against.

Hardening owned

When to use it: shrinking the attack surface was yours

Example bullet

Owned the work that shut a wide-open estate down tight.

Before / after direction

When to use it: systems got hardened but no one tracked drift

Example bullet

Locked the baselines until a misconfigured host got caught fast.

5

Security Automation

Practice introduced

When to use it: everything was triaged by hand before you

Example bullet

Wrote the playbooks the team now runs instead of clicking.

Automation owned

When to use it: killing the manual triage was yours

Example bullet

Owned the automation that handled the top alerts on its own.

Before / after direction

When to use it: response quickened but nobody timed it

Example bullet

Automated the routine until an alert closed itself in minutes.

6

Risk & Posture

Practice introduced

When to use it: there was no risk register before you

Example bullet

Built the risk register the org now reviews.

Risk owned

When to use it: surviving the audit was yours

Example bullet

Owned the work that walked a clean audit start to finish.

Before / after direction

When to use it: posture improved but nobody scored it

Example bullet

Worked the register until the top risks were closed for good.

Security engineer, or someone who just ran a scanner?

A heap of tools says little about the risk you removed; only the numbers do that. Drop me the draft and let me name which lines prove genuine security work and which are padding.

Back lands a clear look at the full resume, a sharp list of fixes, no padding, inside a day, on me.

Get a Free Security Engineer Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

Frequently asked

Security Engineer resume metrics FAQ

Fall back on scope and direction. A real number is the win, but the piece you ran and how you moved things matter nearly as much. Point to the scanning you stood up, the detections you wrote, or the access you trimmed to least privilege. Recruiters read those as genuine security work, simple as that. Each card above puts the angle next to an example.

They can, provided the estimate holds and you can stand it up in the room. Suppose criticals fell sharply after you rolled out scanning but you logged nothing: 'dropped open criticals roughly 80%' is fair. Reach for percentages where the raw counts stay private. The one condition: you can walk an interviewer back through the steps.

Never. A made-up number comes apart the moment anyone leans on it, since security numbers invite exactly that: a panel may ask which scanner first caught it, or how the drop got measured. One fake stat alone can wreck the loop. Leaning on what you genuinely did stays honest and lands just as well.

The strongest lines only, not every one. Save your figures for that handful of bullets which truly carry your most recent role, the ones a recruiter reaches first. Mark every line and the good ones melt into filler. A tight, defensible few beats a screen of them.

Whichever lands harder without overstating it. A big drop reads cleanest as a percentage ('cut critical vulns 90%'); a big raw count stands on its own ('zero open criticals in prod'). Drop any lone percentage resting on nothing. Combine the two only when it pays its way: 'MTTR from 30 days to under 48 hours.'

Yes, and they crop up sooner than most new grads expect. A scanner you set up, the vulns you closed on a project, a detection you wrote, or a box you hardened each trace to a brief internship or a side gig. No sprawling estate required, only a clue your work left things safer.

Not far off, really. Vulns and fixes sit in your scanner; alerts and response live in the SIEM; access data is in your identity provider; audit findings are in the ticket tracker. If all that is well in your past, estimate carefully and say as much.

Only one. A single strong number right up at the top, say the criticals you closed or your top remediation win, buys those first seconds. Move the rest into the work-experience bullets and leave the summary lean. The security engineer resume guide covers writing 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 security engineer 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 →