Technical Interviewer & Candidate Readiness Specialist

Job Description: Technical Interviewer & Candidate Readiness Specialist

Job Title: Technical Interviewer & Candidate Readiness Specialist

Company Overview

Brisa Technologies is an India-based engineering and technology solutions company focused on product-oriented development across Enterprise software, embedded systems, semiconductors, cloud, data and Generative AI.

The company provides product engineering and professional services to industries such as Automotive, Banking and financial services, Healthcare, and Semiconductors, with a strong focus on rapid execution and customer success.

Role Purpose

We are seeking an experienced Technical Interviewer & Candidate Readiness Specialist to evaluate technology candidates for client requirements, improve their interview readiness, and enable recruitment teams to source accurately.

The role involves conducting up to 7 technical interviews per day, participating in client JD-clarity calls, translating technical requirements into actionable sourcing guidance, and coaching shortlisted candidates before client interviews.

Key Responsibilities

• Conduct structured technical interviews for candidates across multiple technology requirements, with a capacity of up to 7 interviews per day.
• Assess candidates on technical depth, practical experience, communication, problem-solving ability, project exposure, and fitment against the client requirement.
• Prepare interview questions, expected answers, scoring criteria, and evaluation templates from job descriptions.
• Use LLM-based tools such as ChatGPT effectively to:
• Analyse client job descriptions and identify core technical requirements.
• Generate role-specific interview questions and follow-up questions.
• Develop reference answers and assessment rubrics.
• Evaluate candidate responses objectively against required competencies.
• Identify skill gaps and create targeted coaching inputs.
• Provide timely, structured, and actionable interview feedback to the recruitment team.
• Coach shortlisted candidates for client-facing interviews, including technical preparation, project articulation, scenario-based responses, and communication improvement.
• Participate in client JD-clarity calls along with the recruitment team.
• Ask relevant technical, functional, delivery, team-structure, project-context, and evaluation-related questions to ensure complete understanding of the requirement.
• Convert client discussions and JDs into clear guidance for recruiters, including mandatory skills, secondary skills, experience expectations, domain requirements, interview focus areas, and candidate screening criteria.
• Explain job requirements in a simple and practical manner to recruitment teams to support effective and efficient candidate sourcing.
• Identify common interview gaps and recommend improvements to screening, sourcing, candidate preparation, and evaluation processes.
• Maintain interview records, candidate scorecards, coaching notes, and requirement-level assessment documentation.
• Remain flexible to conduct interviews during daytime or evening hours based on client, candidate, and business needs.

Required Experience and Qualifications

• Around 10+ years of experience in the IT industry, with strong hands-on exposure in technology delivery, development, architecture, consulting, technical hiring, or technical leadership.
• Demonstrated experience in conducting technical interviews, evaluating candidates, mentoring professionals, or coaching candidates for interviews.
• Bachelors degree in engineering, Computer Science, Information Technology, or a related discipline. Equivalent relevant technical experience will also be considered.

Mandatory Technical Competencies

The candidate must possess working knowledge and interview-assessment capability in at least two or more of the following areas:

• Full-stack development, including frontend, backend, APIs, databases, and modern application architecture.
• Data engineering, including ETL/ELT, data pipelines, data warehousing, cloud data platforms, and data quality.
• Data analytics, including SQL, reporting, BI tools, dashboards, data modelling, and analytical problem-solving.
• Cloud computing, including cloud architecture, DevOps, DevSecOps, CI/CD, containers, Kubernetes, infrastructure automation, and Site Reliability Engineering.
• SAP technologies, such as SAP functional modules, ABAP, SAP S/4HANA, SAP Basis, SAP BTP, or SAP integration.
• Other enterprise technologies relevant to client requirements, such as cybersecurity, AI/ML, QA automation, ERP, CRM, or integration platforms.

Essential Skills

• Strong technical understanding with the ability to assess candidates across diverse technology stacks.
• Excellent verbal and written communication skills.
• Ability to ask structured, probing, and scenario-based interview questions.
• Strong judgment in distinguishing theoretical knowledge from practical project experience.
• Ability to understand complex technical JDs and convert them into clear interview and sourcing criteria.
• Proven candidate coaching and mentoring capability.
• Proficiency in using ChatGPT or similar LLM tools responsibly for interview preparation, question creation, answer validation, candidate assessment support, and documentation.
• Strong documentation skills, including preparation of interview scorecards, candidate feedback, and JD-analysis notes.
• High level of professionalism, confidentiality, objectivity, and stakeholder-management capability.

Work Arrangement

• Work mode: Remote / Work from Home.
• Interview capacity: Up to 7 interviews per day.
• Working hours: Flexible; availability during daytime and evening hours as required.
• Stakeholders: Clients, recruitment team, candidates, account managers, and internal delivery/technology teams.

Success Measures

• Quality and turnaround time of interview feedback.
• Accuracy of candidate evaluation and shortlist recommendations.
• Candidate performance in subsequent client interviews.
• Effectiveness of candidate coaching and readiness improvement.
• Clarity and usefulness of JD inputs provided to recruitment teams.
• Reduction in irrelevant profiles and improvement in sourcing efficiency.
• Client and internal stakeholder feedback on requirement understanding and candidate quality.