Technical Interview Lead

Skillsforce Management Consultancy Pte Ltd

Singapore

On-site

SGD 100,000 - 140,000

Full time

14 days+
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Job summary

Skillsforce Management Consultancy Pte Ltd is seeking an experienced technology hiring professional to support our client by conducting in-depth technical interviews and assessing engineering talent.

The role emphasizes evaluating technical foundations, problem-solving, and system design, with actionable hiring recommendations for Talent Acquisition and hiring managers across AI/ML, Cloud, and Platform Engineering domains.

Qualifications

  • Proven experience in technology recruitment and technical interviewing.
  • Strong understanding of software engineering and cloud technologies.
  • Ability to assess talent across different levels of seniority.
  • Experience reviewing technical assessments and translating results into recommendations.

Responsibilities

  • Conduct first-round and in-depth technical interviews for engineering candidates.
  • Review assessment results and evaluate performance against role requirements.
  • Probe candidates on technical foundations, problem-solving, system design, and practical experience.
  • Identify strengths, gaps, and risks during the interview process.
  • Prepare structured interview reports and hiring recommendations for stakeholders.
  • Participate in virtual and face-to-face interviews with hiring managers.
  • Represent the company professionally in candidate interactions.
  • Provide input on candidate suitability, team fit, and hiring decisions.
  • Support ramp-up across multiple technology positions.

Skills

Technical interviewing
Stakeholder management
Engineering leadership
Communication

Job description

Skillsforce Management Consultancy Pte Ltd is seeking an experienced technology hiring professional to support our client by conducting in-depth technical interviews and assessing engineering talent.

The role emphasizes evaluating technical foundations, problem-solving, and system design, with actionable hiring recommendations for Talent Acquisition and hiring managers across AI/ML, Cloud, and Platform Engineering domains.

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