Technical Recruiter
Role Overview
This is a sourcing-first technical recruiter role focused on identifying and hiring mid-level engineering talent across software engineering, cloud, data, and AI.
The recruiter combines hands-on recruiting with consultative advisory, partnering with business leaders, HR teams, and universities.
Key Skills for This Role
Full Job Posting
About Zinnov
Zinnov is a global management consulting firm working with enterprises, technology companies, and investors on market entry, operating models, M&A, and growth decisions.
The firm has more than 450 professionals across 10 global offices and works across industries including technology, healthcare, BFSI, automotive, and media and telecom.
Globalisation Excellence practice
The Globalisation Excellence practice supports enterprises in building and scaling Global Capability Centers, from design and discovery through build, scale, and run.
The practice works across GCC advisory, managed services, and BOT or outsourcing models, and engages with talent and operating strategies.
Role overview
This is a sourcing-first technical recruiter role focused on identifying and hiring mid-level engineering talent across software engineering, cloud, data, and AI.
The recruiter combines hands-on recruiting with consultative advisory, partnering with business leaders, HR teams, and universities.
Sourcing and candidate experience
- Source software, full-stack, backend, frontend, cloud, data, DevOps, and other mid-level technology talent.
- Build passive talent pipelines through market mapping, talent intelligence, referrals, social sourcing, and AI-powered recruiting tools.
- Source AI and machine-learning talent, including generative AI and MLOps roles.
- Use GenAI and AI-enabled recruiting platforms to improve sourcing, candidate engagement, and talent discovery.
- Maintain clean pipelines and clear reporting; provide candidates with timely, thoughtful communication.
Assessment and stakeholder partnership
- Assess early-career and technical candidates using structured interviews and assessment centres; match candidate strengths and aspirations to business needs.
- Consolidate interview feedback into concise, decision-ready summaries.
- Partner with engineering managers and technical leads on hiring priorities, technical competencies, and evolving skill requirements.
- Share market intelligence on software engineering, AI, cloud, and data talent availability and competitive hiring trends.
- Guide stakeholders on candidate experience and coach hiring managers on interviewing, diversity hiring, and candidate engagement.
Qualifications and experience
- A bachelor’s degree is required; a master’s degree or MBA in HR or a related field is preferred.
- Requires 4–6 years of hands-on technical recruiting experience in Product Engineering, Digital Engineering, GCCs, or technology organizations.
- Requires demonstrated hiring success across software, cloud, DevOps, data, and QA automation engineering roles.
- Requires strong sourcing expertise across software/product engineering, AI/ML, cloud, data engineering, and digital technologies, including passive talent pipeline development.
- The available description also specifies hands-on AI/ML recruiting experience; the source text ends mid-sentence after this qualification.
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