How it works Platform Pipeline Roles Talk to us

Senior engineers,
properly vetted

Skip hundreds of resumes. Meet a small number of pre-vetted senior engineers who have already demonstrated the skills you need through role-specific problems, live coding interviews, and scored evaluations, so you can hire based on evidence, not just a CV and a conversation.

Talk to us How it works

A hiring partner,
from first conversation
to signed offer.

A bad engineering hire can cost months of momentum. We take the time to understand your needs, assess candidates thoroughly, and introduce only the engineers worth interviewing.

01

Define the role together

We start by understanding your team, goals, and the problems this hire will solve. The better we understand the context, the better the match.

02

Structured candidate screening

Every candidate is assessed for technical ability, communication skills, ownership, and role relevance before they are introduced to your team.

03

A match that works both ways

We represent your company honestly and ensure candidates understand the role, team, and expectations before entering the interview process.

04

You only pay if you hire

A straightforward placement fee. We only succeed when you do. That keeps us focused on quality over volume, every single time.

Every interview happens here, run by an engineer who has shipped the work.

Candidates code in a shared environment while our interviewer watches the reasoning, not just the result. The session, the code and the test runs are all recorded and attached to the candidate.

rate_limiter.py · senior_backend · DistilHire

REC 32:12

Explorer
vsenior_backend
vproblem
README.md
rate_limiter.py
test_cases.py
>scratch
>notes
Timeline
12:04 first run
12:11 edge case added
12:18 token bucket

rate_limiter.pytest_cases.py
Ln 7, Col 5

candidate › submissions › rate_limiter.py

1class TokenBucket:
  def allow(self, cost=1):
      # refill lazily, no timer thread
      now = monotonic()
      self.tokens = min(
          self.capacity,
7

Priya

Marc

Testssteady_rate_under_limitburst_at_window_edgeconcurrent_clientsclock_drift_tolerancerefill_precision

0 / 542 ms

⎇ interview/priya-rPython 3.11.6Spaces: 4
UTF-8Session recording on

A CV tells you where someone has been. An interview shows you how they think. We give you evidence that they can actually do the job.

DistilHire replaces opinion with artefacts: the code a candidate wrote, the tests it passed, the interview it was defended in, and a score you can compare across every applicant for the role. We run the whole thing, from sourcing and assessment through interviews and background checks, and hand you three finalists with the evidence behind each one.

One platform,
three artefacts.

submission · priya_r · rate_limiter.py

ALL TESTS PASSING

-if count >= limit:
-    return False
-count += 1
 
+# fixed windows burst at
+# the boundary; a bucket
+# smooths across it
+now = monotonic()
+gap = now - self.ts
+self.tokens = min(
+    self.capacity,
+    self.tokens + gap * r,
+)
+self.ts = now
 
 if self.tokens >= cost:
     self.tokens -= cost
     return True

Run analysis

Tests passed5 / 5

Time complexityO(1)

Time to solve18 min

Attempts3

Percentile (role)92nd

Attempt history is kept. You see how the solution was reached, not only that it was.

Every candidate, at the same bar.

Candidates advance as evidence arrives. Nobody moves forward on a hunch, and nothing is scored twice by two different standards.

StageCandidates remaining

Sourced

DistilHire

240

Resume screened

DistilHire

86

Take home assessment

On our platform

31

Expert interviews

Our engineers, 2 to 3 rounds

10

Finalists to your dashboard

Full reports and recordings

3

90%

of the hiring flow runs on our side, from sourcing to background checks.

We run

Sourcing and resume screening.

Take home assessment on our platform.

Two to three expert interview rounds.

Scoring, reports and background checks.

You run

The final conversation with three finalists, with every recording and score already in your dashboard.

We don't just find engineers. We prove who can actually do the work.

01Evidence, not impressionsEvery score points back to a line of code, a failed test, or a timestamped moment in an interview.

02The right bar for everyoneRole-specific rubrics calibrated to experience level, so candidates are evaluated consistently against what the role actually requires.

03Engineers in the loopProblems are written and interviews are run by people who have shipped the work being assessed.

Problem libraries built for four disciplines.

Each library is maintained by practising engineers and mapped to the work the role actually involves.

Backend

Concurrency, API design, data modelling and failure behaviour under load.

GoPythonJavaPostgres

Data Engineering

Pipeline correctness, warehouse modelling, and reasoning about scale and cost.

SQLSparkdbtAirflow

AI / ML

Evaluation design, data leakage, model debugging and production inference.

PyTorchEvalRAGServing

Frontend

State handling, rendering performance, accessibility and interface craft.

TypeScriptReactA11yPerf

Tell us about the role.

Thirty minutes to understand the team, the work and what "good" looks like. From there we source, assess and interview, then come back to you with finalists.

We source, assess and interview, so you meet three finalists

Every finalist arrives with a full report and session recordings