Site Reliability Engineer
Resume Metrics

The Numbers Recruiters Look For

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

From the author

Emmanuel Gendre, ex-Google recruiter

A recruiter's opinion on SRE resume metrics

Every guide says the same thing: show it in numbers. For an SRE that should be simple, reliability is measurable to the decimal, but most resumes only name the tools and call it done.

So which of those numbers belong on an SRE resume? Where do you pull each from? And will a number really swing a hiring call?

Across years of recruiting, a lot of that time at Google, the SREs who landed offers proved the service held: not “set up monitoring” but “held 99.99% and cut MTTR to nine minutes.” A line like that wins the screen, because listing tools is simple and proving the system stayed up is not.

Working out which figures count, and casting them so a recruiter feels their pull, is a core part of what my resume writing service does. Below I lay out the numbers that belong on an SRE resume: when it belongs, the place you read it, and how to compress it into a line.

Care for a second look first? I'll go through the whole draft end to end, line by line, free.

Start here

Why metrics matter on a Site Reliability Engineer resume

I walk the hiring read through in my article on how recruiters screen resumes, and it unfolds in stages. The recruiter handles the opening round, a speedy look at your profile summary, then your latest roles. A senior SRE or the hiring manager then digs into the detail to see whether you can truly keep production reliable.

So two sets of eyes weigh your numbers: the recruiter up front, then an SRE lead who reads on sight what a 99.99% SLO or a nine-minute MTTR really took to hold.

A recruiter skims past the figure itself, matching keywords. The SRE manager over you reads “99.99% on a tight error budget” and right away pictures the effort it took. A figure like that proves you hold production to a target, not just a stack of tools.

These don't all carry the same weight. If your own numbers look modest, no need to worry: for an SRE, one solid SLO or MTTR figure already does more than any tool list.

Roughly, the three weigh in like this:

The logic

Which types of metrics to use
for a Site Reliability Engineer resume

Read through the Job Search Toolkit and my approach is clear: each resume gets built off a role profile. Quick recap: a role profile is the set of skills a job is hired against.

Recruiters check you against it. The SRE resume guide names what each section must contain.

Each part of the SRE profile should land on the page, best within your most recent role, with the figure that proves it sitting alongside.

Those are the metric types. An SRE gets six, each covering a separate slice of the role. Here they are:

The full list

The full list of Site Reliability Engineer resume metrics

Six metric types carry an SRE resume, from SLO attainment to the size of your error budget. Under each, I name the five that count hardest in a screen. Each card lays out what the metric tracks, its average, good, and great bands, where you read it off, and an example line to adapt. Nearly every one is in tools you watch all day: Prometheus, Grafana, your tracing stack, and PagerDuty. The Site Reliability Engineer resume skills page covers the rest.

1

Reliability & SLOs

Reliability is the whole job, and it is measurable to four nines. These prove you hold a service to a target, not just hope it stays up.

Availability

Share of time the service meets its SLO.

Benchmark

Average99.9%
Good99.95%
Great99.99%

Measure with

Prometheus Grafana

Example bullet

Held the checkout service at 99.99% availability for a year.

SLO attainment

Share of SLOs you met.

Benchmark

Averagemost
Good90%
Greatall

Measure with

Prometheus Datadog

Example bullet

Hit every SLO for four quarters running.

Error budget

How you manage the budget for failure.

Benchmark

Averagenone
Goodtracked
Greatenforced

Measure with

Prometheus Grafana

Example bullet

Introduced error budgets that now gate every risky release.

SLI coverage

Share of services with defined SLIs.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

OpenTelemetry Prometheus

Example bullet

Defined SLIs for all 40 tier-1 services.

Automated recovery

How much reliability runs without a human.

Benchmark

Averagemanual
Goodsemi
Greatself-healing

Measure with

Kubernetes Prometheus

Example bullet

Built self-healing that cleared most incidents with no human.

2

Incident Response

When prod breaks, the clock is the metric. These show you detect fast, recover faster, and stop the same fire twice.

MTTR

Mean time to recover from an incident.

Benchmark

Averagehours
Good< 1 hr
Greatminutes

Measure with

PagerDuty Datadog

Example bullet

Cut MTTR from four hours to nine minutes with runbooks and auto-rollback.

MTTD

Mean time to detect an issue.

Benchmark

Averagehours
Goodminutes
Greatseconds

Measure with

Prometheus Datadog

Example bullet

Got MTTD under 60 seconds with tighter alerting.

Incident rate

Production incidents per quarter.

Benchmark

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

Measure with

PagerDuty Grafana

Example bullet

Drove Sev1 incidents down 80% in three quarters.

Repeat incidents

How often the same failure recurs.

Benchmark

Averagecommon
Goodrare
Greatnone

Measure with

Datadog Sentry

Example bullet

Cut repeat incidents to near zero with action-item follow-through.

Postmortem coverage

Share of incidents with a blameless postmortem.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

PagerDuty Datadog

Example bullet

Put every Sev1 through a blameless postmortem with tracked actions.

3

Toil Reduction

SRE caps toil so the team can engineer. These show you measured the manual grind and automated it away, the work that keeps a lean team ahead of a big system.

Toil reduced

Share of time spent on manual ops.

Benchmark

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

Measure with

Kubernetes Terraform

Example bullet

Cut team toil from 45% to 12% of the week.

Manual work automated

Repetitive ops you scripted away.

Benchmark

Average5 hrs/wk
Good20 hrs/wk
Greatan FTE

Measure with

Ansible Terraform

Example bullet

Automated capacity and failover, saving 25 hours a week.

Runbook automation

Share of runbooks that run themselves.

Benchmark

Averagemanual
Goodsemi
Greatautomated

Measure with

Kubernetes Prometheus

Example bullet

Turned 30 manual runbooks into automated remediation.

Self-healing

How much recovers without a human.

Benchmark

Averagenone
Goodpartial
Greatmost

Measure with

Kubernetes Prometheus

Example bullet

Built auto-remediation that closed 70% of pages on its own.

Setup time

How fast routine ops complete.

Benchmark

Averagehours
Goodminutes
Greatinstant

Measure with

Terraform Kubernetes

Example bullet

Cut service onboarding from a day to ten minutes.

4

Observability

You cannot keep up what you cannot see. These prove you instrument the stack so trouble shows up as signal, not 3am surprises.

Monitoring coverage

Share of services with metrics, logs, and traces.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Prometheus Grafana

Example bullet

Put every service on metrics, logs, and traces.

Alert signal-to-noise

Share of alerts that are actionable.

Benchmark

Average50%
Good75%
Great90%

Measure with

PagerDuty Datadog

Example bullet

Lifted alert actionability to 90%, ending pager fatigue.

Trace coverage

How much of a request you can follow.

Benchmark

Averagepartial
Goodservices
Greatend to end

Measure with

OpenTelemetry Datadog

Example bullet

Got end-to-end tracing across 50 services.

Time to detect

How fast monitoring catches an issue.

Benchmark

Averagehours
Goodminutes
Greatseconds

Measure with

Prometheus Grafana

Example bullet

Cut detection from 30 minutes to under one.

SLO dashboards

How visible reliability is to the org.

Benchmark

Averagenone
Goodper-team
Greatorg-wide

Measure with

Grafana Splunk

Example bullet

Built org-wide SLO dashboards leadership watches.

5

Performance & Capacity

Reliability includes staying fast under load. These show you hold latency low and keep capacity ahead of demand, so traffic spikes never become incidents.

p99 latency

Tail latency you held.

Benchmark

Average-30%
Good-60%
Great-85%

Measure with

Prometheus Grafana

Example bullet

Cut p99 latency from 1.2s to 180ms.

Throughput

Load the system sustains.

Benchmark

Average1k rps
Good10k rps
Great100k rps+

Measure with

Kubernetes Prometheus

Example bullet

Scaled the service to 80k requests/sec at peak.

Capacity headroom

Buffer you keep before saturation.

Benchmark

Averagetight
Goodplanned
Greatautoscaled

Measure with

Kubernetes Datadog

Example bullet

Kept 30% headroom with autoscaling through every peak.

Saturation control

How you handle overload.

Benchmark

Averagenone
Goodthrottling
Greatload-shedding

Measure with

Kubernetes Prometheus

Example bullet

Added load-shedding that held the SLO through a 10x spike.

Capacity planning

How far ahead you forecast demand.

Benchmark

Averagereactive
Goodquarterly
Greatmodeled

Measure with

Prometheus Grafana

Example bullet

Built capacity models that ended the last-minute scramble.

6

On-Call Health

A rotation that burns people out is a reliability risk of its own. These show you run on-call as something a team can keep doing, the human side a hiring manager quietly weighs.

Pages per shift

Alerts an on-call handles per rotation.

Benchmark

Average-30%
Good-60%
Great-85%

Measure with

PagerDuty Prometheus

Example bullet

Cut pages per on-call shift 75% by killing the noise.

After-hours load

Out-of-hours interruptions.

Benchmark

Average-30%
Good-60%
Great-85%

Measure with

PagerDuty Grafana

Example bullet

Drove after-hours pages down 80% in two quarters.

MTBF

Mean time between failures.

Benchmark

Averagedays
Goodweeks
Greatmonths

Measure with

Prometheus Datadog

Example bullet

Pushed MTBF from days to months on the core path.

Change safety

How safely changes reach production.

Benchmark

Averagerisky
Goodreviewed
Greatguarded

Measure with

Kubernetes PagerDuty

Example bullet

Added progressive rollout that caught regressions before users.

On-call sustainability

Whether the rotation is healthy.

Benchmark

Averagead hoc
Goodstaffed
Greatsustainable

Measure with

PagerDuty Grafana

Example bullet

Rebuilt the rotation into one people stopped dreading.

Do your reliability numbers make the cut?

SRE work throws off numbers most fields rarely see: SLO attainment, MTTR, error budget, toil cut. The error is filing them behind a long inventory of whatever tools you ran. Tough to gauge from where you sit.

Let me handle that.

I'll read your Site Reliability Engineer resume like a hiring manager and split them into keepers, sharpens, and cuts. Free, within 12 hours.

Get a Free SRE Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

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Qualitative metrics

What if my work didn't leave a number?

A gap in the numbers is not a gap in the work. Even with no figure, what you delivered and the calm it brought the service still matter. Each card below maps an honest path to it, with one line to borrow.

1

Reliability & SLOs

Practice introduced

When to use it: SLOs did not exist and you defined them

Example bullet

Set the SLOs and error budgets the org now runs to.

Reliability owned

When to use it: keeping it up was yours

Example bullet

Took a service from constant fires to four nines.

Before / after direction

When to use it: it grew steadier but nothing recorded it

Example bullet

Hardened the service until it stopped breaking its promises.

2

Incident Response

Practice introduced

When to use it: you brought blameless postmortems in

Example bullet

Set up the blameless postmortem process the org now follows.

Problem owned

When to use it: the firefighting was yours to end

Example bullet

Owned the work that turned a weekly outage into a quiet quarter.

Before / after direction

When to use it: recovery got quicker but it stayed untimed

Example bullet

Wrote the runbooks until recovery stopped resting on one person.

3

Toil Reduction

Automation owned

When to use it: ending the manual grind fell to you

Example bullet

Owned the automation that took toil off the on-call plate for good.

Practice introduced

When to use it: you set the toil budget

Example bullet

Set the toil cap the team now plans every sprint against.

Before / after direction

When to use it: it got automated but nothing measured it

Example bullet

Scripted the busywork until on-call had time to engineer again.

4

Observability

Practice introduced

When to use it: you brought observability in

Example bullet

Stood up the tracing and SLO dashboards the org now runs on.

Problem owned

When to use it: closing the blind spots fell to you

Example bullet

Owned the rebuild that turned blind production into a watched system.

Before / after direction

When to use it: you noticed issues sooner but logged nothing

Example bullet

Wired up alerting so a failure paged us, not the customer.

5

Performance & Capacity

Performance owned

When to use it: chasing down the slowness fell to you

Example bullet

Owned the work that kept the service fast through Black Friday.

Before / after direction

When to use it: it scaled but nothing captured it

Example bullet

Re-tuned the system so peak traffic stopped causing incidents.

Practice introduced

When to use it: you set the capacity bar

Example bullet

Set the capacity and latency budgets every service now plans to.

6

On-Call Health

Practice introduced

When to use it: you fixed the on-call rotation

Example bullet

Rebuilt on-call into a rotation the team could actually sustain.

Outcome owned

When to use it: the pager pain was yours to solve

Example bullet

Owned the work that gave the team a full night of sleep again.

Before / after direction

When to use it: pages dropped but nothing tracked it

Example bullet

Tuned the alerts until the pager went quiet overnight.

SRE, or someone who just watched a dashboard?

A long tool list is no proof you keep things up; the numbers do. Let it land in my inbox and I'll tell the real reliability work from a tool inventory.

You get back a no-frills read of your SRE resume and a tight fix list, back the same day, and it costs you nothing.

Get a Free SRE 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

Site Reliability Engineer resume metrics FAQ

When the number is missing, go qualitative. Scope and direction still read as real work. Point to the first SLOs you defined, a service you took from constant fires to a calm rotation, or the runbooks on-call now depends on. A hiring manager counts those as genuine reliability work, nothing made up. Each card above carries its own worked example.

Sure, if it is a careful estimate you would stand behind. Say you slashed MTTR but never noted the original number: "recovery went from hours to minutes" is reasonable. Use relative figures while the absolutes stay private. The only condition: you can show an interviewer the reasoning.

Do not. Never. An SRE interview gets deep into the systems fast, and a made-up figure crumbles the second anyone questions how you measured the SLO or what the error budget really ran at. A lone fabricated stat can lose the offer. A point about the ground you held rings true and still lands.

No, only the best few. Save a figure for the few lines carrying the most in your most recent role, the lines a reader hits first. Put a number on each line and the best ones get lost, and the page fills with padding. A few you can stand behind outdo a screenful.

Go with whichever reads strongest. A reliability number lands as a flat figure ("99.99% availability"); an improvement lands in percent ("MTTR down 80%"). Drop any solo percentage that lacks a baseline. Run both together where it helps: "MTTR from four hours to nine minutes."

Yes, and they are within reach sooner than juniors expect. An SLO you wrote, the MTTR you trimmed, the toil you scripted away, or an alert you quieted all turn up in one project or a stint as an intern. A huge platform is not required, only proof you kept something reliable.

Nearer than you would think. Availability and error budgets come from Prometheus or your SLO tool; MTTR and incidents are in PagerDuty; latency and saturation sit in Grafana; toil turns up in your own time logs. If those systems are gone, give a sensible estimate and say it is one.

Just one, up top. A lone headline figure, the availability you held or your best MTTR win, buys the recruiter's next few seconds. Push the rest into the work-experience bullets. The SRE resume guide walks through 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 SRE 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 →

More resources

Other SRE Resume Resources

Resume Guide

Site Reliability Engineer Resume Guide

The full walkthrough from format to skills, by an ex-Google recruiter.

Skills

SRE Resume Skills & Keywords

The exact stack and ATS keywords that clear the screen in 2026.

Template

Site Reliability Engineer Resume Template

Free, interactive, pre-filled. Edit the placeholders and download as PDF.

Service

SRE Resume Writing Service

If you'd rather have me rewrite it. 4.9 stars on Fiverr, 419 reviews.