For a load test that actually predicts what happens live

Hire Performance Testers

A load test can pass cleanly at ten times expected traffic while production falls over at twice that load. That gap almost always means the test never modelled real traffic. These testers are evaluated on catching that exact mismatch, then placed to give your team a capacity number they can genuinely trust.

  • Profiles typically within two business days
  • Replacement Assurance: If an engineer is not the right fit, a replacement from our own team starts within ten business days of your request, at no extra cost
  • You interview before placement if you want to
  • At least four hours a day inside your core working hours. Two hours plus a daily written handover for the US West Coast
  • 14-Day Risk-Free Trial: For your first engineer on a time-and-materials engagement. Up to 14 calendar days or 80 logged working hours, whichever comes first. End within the trial and pay nothing for trial hours. Continue beyond it and those hours are billed at the agreed rate. Unpaid trial work remains ours if you stop
A capacity number you can trustReplacement is our cost, not yoursAI augmented, human governedEvidence before estimatesYour IP from day oneOne accountable owner per engagementFounded in 2011. Part of the Vinove Group500+ full-time engineers, as of September 2026NASSCOM member
Watch · the 90-second brief

How we evaluate a performance tester

The tasks, the signals and the onboarding, walked through by the people who run them.

90 secWatch without filling in a form.
Engineers reviewing a load test result together.90 secSample frame · video pending

01Published, not promised

The assessment behind every tester we send.

The performance testing bar is published, not assumed: five competencies, the exact task behind each, and the shortcut that ends a candidacy. Most interviews ask about tools. This one asks whether the test would actually predict production behaviour.

What we listen forWhether the test models real traffic, not an easy synthetic pattern.

The task we set

A load test passes cleanly at ten times expected traffic, but the site falls over at twice expected traffic in production. Diagnose the mismatch.

What strong sounds like
Investigates whether the synthetic load pattern actually resembles real user behaviour, such as think time, request mix and concurrency shape.
What gives us pause
Assumes the production infrastructure must be misconfigured, without questioning whether the load test itself modelled real traffic accurately.
Core

JMeter · k6 · Gatling

Monitoring

Grafana · Datadog · New Relic

Analysis

Profiling · Capacity Modeling · APM

Tooling

CI/CD Integration · Docker · Cloud Load Generators

02Who you actually meet

The bench, priced by seniority.

Three seniority tiers, priced honestly, and the engineers who fill each one today. Real names and photos take their place as soon as we can share them, and the standard stays exactly the same.

Engineer

Features scoped tightly enough to ship inside your review bar, every time.

The right first hire when your seniors already set the standard.

$2,200–2,800per month

Senior

The hard module nobody else wants to own, taken end to end.

Ownership of a surface, without adding a manager to your headcount.

$3,100–3,900per month

Lead

The workstream's decisions, made daily, so nothing waits on a meeting.

One accountable voice for a pod or initiative that can't afford to drift.

$4,200–5,300per month

  • Performance tester

    3 yrs · US East overlap

    Rebuilt a load test to model real transaction patterns after production capacity kept surprising the team

    • JMeter
    • k6
    • Grafana
  • Senior performance tester

    6 yrs · UK + EU hours

    Traced a throughput ceiling to a connection-pool limit nobody had measured directly

    • Gatling
    • APM
    • Capacity Modeling
  • Lead performance engineer

    9 yrs · EU + US split

    Owns the automated regression-detection standard catching slowdowns before customers notice

    • Architecture
    • Datadog
    • CI/CD Integration

Indicative ranges, representative profiles. Exact figures and named engineers arrive with your shortlist.

Weighing this against a freelancer, a direct hire or a marketplace? See the honest comparison

03From stated problem to first change

Four steps, each closing on evidence.

This process tests capacity judgement, not familiarity with a load-testing tool's syntax. You can stop at any point owing nothing.

  1. Define the capacity problem

    We map where your system's load testing or capacity confidence is actually thin. The brief names that gap, not a list of load-testing tools to know.

    A brief your leads sign
  2. Match against your systems

    Candidates are screened against your actual traffic patterns, your infrastructure and your review culture. Three testers who understand your systems beat thirty who list a load tool on a CV.

    Three fits, not thirty CVs
  3. Assess on the real tasks

    Your team can watch the bottleneck-diagnosis and capacity-planning exercises directly. What shows up is honest analysis, not a confident-sounding but unsupported number.

    Evaluation you can watch
  4. Onboard inside your process

    Access, standards and a first real load test against a genuine bottleneck. Continuity cover keeps a departure from ever becoming your capacity blind spot.

    A merged change in week one

04Evidence and proof

Testers who made the capacity number trustworthy.

Performance proof is a prediction that held up in production, not a benchmark that looked good in isolation. Every record here waits for written client approval before production.

Explore case studies
A load test rebuilt to model realistic traffic patterns.
Vela Ledger · Fintech SaaS, EU

A capacity number leadership could finally trust.

Vela Ledger's previous load tests had confidently predicted capacity that production never actually reached. An embedded performance tester rebuilt the test to model real transaction patterns, giving leadership a capacity figure that finally held up.

Capacity estimate accuracy
Corrected to match production
Time to rebuilt test
One sprint
Sample · pending client approval
Portrait of a CTO discussing a performance bottleneck diagnosis.

He found the exact connection-pool limit that was silently capping our throughput for months.

Daniel MercerCTO, Vela Ledger
Sample · pending client approval
Portrait of an operations director discussing performance regression detection.

The regression alerts she set up caught a slowdown before a single customer complained about it.

Mei TanakaDirector of Operations, Tern
Sample · pending client approval

05Three shapes, one standard

Add a tester, a capacity pod, or a practice.

Most teams start with one tester validating capacity for an existing system. Some need a pod that owns performance confidence across every release. Where a platform needs building for scale from the ground up, we point you to the practice instead.

  • One named tester

    A single performance specialist inside your direction and your reviews. The smallest commitment, and the usual first step.

    Team extension
  • A capacity pod

    A pod with its own lead that owns load testing and capacity planning across every release. You set priorities while the pod carries delivery.

    Delivery pods
  • The practice, not the person

    Where a platform needs building for scale from the ground up, data and cloud engineering takes that scope on instead.

    Data & Cloud

06Straight answers

Asked before a performance testing hire is signed.

What does a performance tester actually do day to day?

Designs load tests that model real traffic honestly, traces bottlenecks to the specific resource at fault, and builds automated detection so a slow drift gets caught before it compounds. The unglamorous majority of the work is making a capacity number something leadership can actually rely on.

Do you hire for a specific load-testing tool?

Matched to your actual stack. Judgement about realistic load modelling transfers across JMeter, k6 and Gatling, then the evaluation confirms familiarity with whichever you run.

Can we run our own interviews as well?

Yes, the published tasks are built to be reused directly. Several clients now run the bottleneck-diagnosis exercise themselves in later hiring rounds.

How fast can a performance tester start?

A shortlist arrives within days from a bench evaluated continuously. Onboarding speed after that depends mostly on how quickly your side can grant infrastructure access.

Who manages the tester day to day?

Your leads set priorities and hold the release standards. We hold the administrative load beneath it: payroll, continuity, and stepping in if a transition is ever needed.

What if the tester is not the right fit?

Tell us in the first few weeks and we cover the replacement at no cost. The next tester starts already briefed on the exact gap, which keeps a repeat mismatch rare.

Do your performance testers use AI tools?

Yes, for drafting test scripts and repetitive scenario scaffolding. The load modelling and bottleneck judgement stay entirely with the tester.

How does pricing work for a hired performance tester?

The bands above frame the honest range; the shortlist fixes the precise figure once scope is agreed. Monthly billing, no placement fee, notice-period exit only.