Technical Interviews as a ServiceGives your engineers their time back!

We run the early technical screens and route only top candidates to your engineers - turning the interview stream into a priority queue.

Experience rooted in top-tier hiring standards.

Match report: requirements met, risks and career trajectory

Every senior hire costs you a sprint.

Nobody sends you this invoice. Your roadmap pays it anyway.

And that is before probation. A candidate can pass every interview and still be technically weak on real tasks.

Applicants per engineering role
191
Candidates who reach an interview
21
Technical interviews per role
12
Engineers in the room
1.4
Hours per interview, plus the write-up
2
Senior engineering time, per one hire
34 h
Offers that actually get accepted
73%

Interviews end-to-end, on your bar.

  • AI-native software engineeringNew

    How the candidate actually works with AI: what they delegate to it and what they keep, how they wire it into the development pipeline, how they test what it writes, and how they take a requirement from a sentence to something shippable.

  • Coding & Problem-Solving

    Practical tasks in a controlled environment: problem-solving, debugging, clarity of thought.

  • Tech Stack Depth

    Your core technologies: frameworks, ecosystem, real production experience on your stack.

  • Data Structures & Algorithms

    Fundamental CS concepts, algorithmic thinking and optimisation strategies.

  • System Design

    High-level design: ownership, architectural thinking, scalability, trade-off analysis.

  • Mindset & Ownership

    Cultural fit, ownership mentality, working independently and with a team.

Stream process

191 applicants a role, and one of them is the hire.

Priority queue

  1. 1Strong hire - book them
  2. 2Hire, with one caveat
  3. 3Borderline, evidence attached
  4. 4No hire, and why

Get a sorted list of candidates - and invite only the best matches to meet your team.


Ranked candidate list with the obvious no's already removed
Match report: requirements met, risks and career trajectory
Job requirements parsed into met, partial and missing
Career timeline reconstructed from the dates on the CV

How we run a technical interview

For every interview you get:

  • The Zoom recording of the whole call
  • A link to the structured report: what was asked, what came back, quoted
  • A hire / no-hire recommendation, with the reason behind it
  • A scorecard across every dimension you signed off on
  • Strengths and risks, named - not adjectives
  • An integrity read: our interviewers are trained to catch cheating, technical and behavioural alike - a fed answer, a second screen, a story that does not survive one follow-up

Get a ranked shortlist of candidates - invite only the best matches to meet your team.

  1. Step 1

    Kick-off

    Send us the job description

  2. Step 2

    Discovery

    We meet your engineering team to understand your goals and expectations

  3. Step 3

    Design

    We design the interview flow & rubrics

  4. Step 4

    Alignment

    Align the interview procedure with you and lock the scoring model

  5. Step 5

    Candidates

    You send us candidates

  6. Step 6

    Results

    We deliver ranked results and reports for each interview

Outcome: your interview process stays internal in standards and decisions - while the execution runs outside your team.


How we plug into your process

Verdicts, scorecards and recordings land on the candidate where your recruiters already work - 90+ systems, Greenhouse and Workday to Teamtailor and Ashby. No ATS? On LinkedIn Recruiter we hook in through Gmail, and the CVs reach us the same way. Nothing on your side gets rebuilt.

Talk through your setup
  1. 1

    You send the CV

    Upload it to our system, or let it arrive from your ATS - the candidate lands in the same place either way.

  2. 2

    We ask the candidate first

    They get a consent request naming what is recorded, what is scored and who sees it. Nothing is scheduled until they agree.

  3. 3

    Someone books the call

    We reach out and schedule it, or you keep that contact and drop them a Calendly link. Your call which - some teams will not hand over the relationship, and they do not have to.

  4. 4

    The interview runs

    60 to 80 minutes with an interviewer calibrated against your bar. The recording, the report and the verdict go back to where your recruiters work.

  5. 5

    Results the same day

    The report, the scorecard and the hire / no-hire land the day the interview runs - not at the end of the week, when the candidate already took the other offer.

  6. 6

    You sort the list yourself

    Every interviewed candidate sits in one list you can rank and filter - by score, by dimension, by verdict - so the shortlist is something you order, not something we hand you fixed.

Writes back into your ATS

GreenhouseLeverWorkdayTeamtailorSmartRecruitersWorkableAshbyiCIMSRecruiteeBullhornJazzHRBambooHRZoho RecruitJobviteAvatureOracle TaleoPersonioBreezy HR

Technical Interviewers Team. Forged in Turing.

We have interviewed for Google, Apple, Meta, Anthropic, Coinbase and Reddit.

The usual choice in technical hiring is a recruiter who cannot check the answer, or your own senior who has no time to. One costs you noise, the other costs you an engineer. We run it with practising engineers for whom interviewing is the job, not an interruption - assembled and calibrated at Turing.

Put one interview to the test
  • We calibrate with your engineers: your bar, your scale, not ours.
  • Interviewers with 10+ years in production. Not recruiters with a checklist.
  • English by default; we add an interviewer in Russian, Chinese or whatever language your hiring runs in.
  • On request: FAANG-depth DSA and System Design.
  • 60+ technologies, from Java and Go to Kubernetes, Kafka, Cassandra and Playwright.
  • A verdict with the reasoning, not “the candidate seemed strong”.

What we can interview on

AngularAnsibleAwsAzureCCameraCassandraCicdCloud architectureCplusplusCsharpCssCypressDartDjangoDotnetElasticsearchFlaskFlutterGcpGoHibernateHtmlJavaJavascriptJestKafkaKotlinKubernetesLinuxMachine learningManual testingMicroservicesMongodbMqttMssqlMysqlNodejsNosqlOraclePerlPhpPlaywrightPostgresqlPythonRailsReact nativeReactRedisRedshiftRest apiRpaRubyScalaSeleniumShellSolrSpring bootSqlSwiftTerraformTypescriptUipathVueWordpress
AngularAnsibleAwsAzureCCameraCassandraCicdCloud architectureCplusplusCsharpCssCypressDartDjangoDotnetElasticsearchFlaskFlutterGcpGoHibernateHtmlJavaJavascriptJestKafkaKotlinKubernetesLinuxMachine learningManual testingMicroservicesMongodbMqttMssqlMysqlNodejsNosqlOraclePerlPhpPlaywrightPostgresqlPythonRailsReact nativeReactRedisRedshiftRest apiRpaRubyScalaSeleniumShellSolrSpring bootSqlSwiftTerraformTypescriptUipathVueWordpress

Named, not anonymised

What the market says about us.


Frequently Asked Questions

By a person. A senior engineer with 10+ years in production runs a live call of about an hour, following a plan agreed with your team. AI helps us turn the transcript into a structured report. It does not ask the questions and it does not make the call.

Use it for what it does well: generating questions and summarising CVs. What it cannot do is sit across from a candidate and push on an answer until you see whether they understand it or rehearsed it. Now that a model can produce a good answer for free, that live follow-up is where the signal is left.

If your team has the time and already knows the stack, you probably don't. Teams come to us when interviews eat their senior engineers' weeks, or when they hire for a stack nobody in-house can assess yet. Our first client was rewriting a Java system in Go and had no one calibrated to interview for it.

Your bar. Before the first candidate we agree the interview plan with your tech lead, and they can cut or add anything. One client's tech lead removed the algorithms section and replaced live coding with a review of a small Go service, because that is what the job actually is.

Yes. We run the interview on Zoom with the candidate's consent, and you get a copy of the recording with the report, so you can check any conclusion against the moment it came from. The data is processed under GDPR for your role only, and we delete it on request.

Engineers from the technical interviewing team built and led at Turing: 22 people, each with 10+ years in production. Before we start, we show you who covers your stack: their role, seniority and what they work with.

No subscription. You pay per role: $2,000 covers the interview plan built with your tech lead, up to 10 interviews, and a ranked list of everyone we interviewed. You pay for the role, not per interview.

Our interviewers are trained to catch a fed answer, a second screen, or a story that does not survive one follow-up question, and the report says what they saw. We don't sell automated fake detection: a live follow-up is the check that holds up.

Yes. Candidates can arrive from your ATS or be uploaded directly, and the report, recording and verdict go back to where your recruiters already work. Teamtailor is integrated today.

Yes, it is a separate part of the interview: what the candidate delegates to AI and what they keep, how they wire it into the pipeline, and how they test what it writes. We also evaluate AI-native roles, including engineers working on LLM-based systems.

No. We don't source or place anyone, so we never compete with your recruiters or your agency for the hire. You bring the candidates, we give you the technical read on them.

A no-show counts as a held interview, because the interviewer's slot was reserved. Cancel at least 4 hours ahead and it doesn't count.

Yes. Introduce us and earn 10% of everything that client pays us in their first 12 months. Your client stays yours, because we don't source or place candidates. The terms are on our partner program page.

Yes. A one-hour mock interview in English with an engineer from our team, at a senior software engineer bar, recorded, with a written breakdown of where you stand and what to close. $150.