GSS - Tech Sourcing Recruiter AWS , WWAS TA C Sourcing
Listed on 2026-03-11
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IT/Tech
Tech / IT Recruiter
GSS - Tech Sourcing Recruiter AWS , WWAS TA C Sourcing
We are looking for a skilled and motivated Tech Sourcer to support talent acquisition for Data Center Engineering and Infrastructure Operations roles across North America (USA). The ideal candidate will have a strong understanding of the technical landscape for data center, facilities, and critical infrastructure roles, and will excel at identifying and engaging passive talent in Tech domain.
This is a contractual role.
Locations - Bangalore
Shift Timing - 6:00 pm - 3:00 am IST
Key job responsibilitiesThe role holder will be a part of Global Strategic Sourcing (GSS) team, which is a central sourcing team for WW Amazon Talent Acquisition (ATA) team. We scout bar raising talent spanning across Americas (NA, LATAM), Europe, AMET and India, to enable and scale cost‑efficient sourcing solutions in Tech, Non‑Tech and High‑volume space.
Basic Qualifications- Bachelor's degree
- Experience building and driving talent sourcing initiatives and pipelines
- 2+ years of passive candidate generation experience
- Experience in progressive corporate or search firm recruiting with a focus on passive engineering candidate generation in a high‑tech market
- Experience in conducting candidate outreach and engagement to build interest and assess right fit, with ability to filter the right candidates during recruiter phone screen.
- Boolean and Advanced Search
- Bachelor’s or associate degree in Electrical engineering, Mechanical Engineering, Computer Science, Facilities Management or related technical field.
- Prior experience sourcing for AWS, hyperscale cloud, or co-location Data Center environment.
- Experience in any 1 or 2 Tech hiring domain will be an added advantage:
1. Experience of hiring Full stack, Back-end and Front-end engineers, 2. Data Analytics including Data Scientist (AI/ML) and Engineers, 3. Understanding of any 2-3 Programming languages or key tech stacks like Python, Java, SQL, ETL, data pipelines, Hadoop, Spark, Big Data, or similar technical landscape.
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