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As a Sourcing Recruiter supporting the Compute-Plex and ML Services org, you will own the full sourcing lifecycle for highly specialized engineering and technical roles across leaders. You will partner closely with Recruiting Business Partners, Recruiting Managers, and senior technical Hiring Managers to build proactive talent pipelines — with a particular focus on Software Development Engineers (SDE), Cloud Hardware Development Engineers (CHDE), and Systems Development Engineers.
- Key job responsibilities
- Developing and executing multi-channel sourcing strategies to attract passive, world-class technical talent across Compute, PLEX, Hardware Engineering, and ML/AI domains
- Building and maintaining robust, always-on candidate pipelines for evergreen and specialized engineering roles within EC2, Nitro, HWEngS, PLEX, and ML/AI organizations
- Conducting weekly hiring manager sourcing sessions and contributing qualified candidates to established talent pools
- Performing proactive outreach, candidate engagement, and initial screening to assess technical background, career motivations, and role alignment
- Partnering with Recruiting Business Partners to ensure a seamless candidate experience from first contact through offer
- Continuously mapping target companies, talent ecosystems, and technical communities relevant to Compute and ML Services hiring needs
- Supporting and leading sourcing sessions with builders and technical teams to generate referral leads and candidate pipelines
- Maintaining accurate and up-to-date candidate records, pipeline metrics, and sourcing activity in recruiting systems
- Communicating sourcing progress, pipeline health, and market insights to stakeholders through regular updates
- Contributing to team-wide sourcing best practices, training initiatives, and process improvements
A day in the life
You will spend your days identifying and engaging passive technical candidates across some of the most specialized and competitive talent pools in the industry. From mapping hardware engineering talent for Instant Platforms and HWEngS to building pipelines for EC2 and ML/AI services, no two searches are the same. You will collaborate daily with other recruiters and hiring managers, share market insights, and drive creative sourcing strategies — including sourcing sessions, referral campaigns, and target company mapping — that keep the org ahead of the competition for top technical talent.
About the team
The Compute-Plex and ML Services Recruiting Team supports one of AWS's most strategically critical and technically complex organizations. The org spans EC2, Compute Services, Hardware Engineering Services (HWEngS), Instance Platforms/Nitro, Bedrock, Sagemaker, internal builder tools, and ML/AI infrastructure — the foundational layers that power Amazon and AWS at global scale.
To fuel continued growth, we are looking for a Sourcing Recruiter who is passionate about identifying and engaging top passive technical talent across some of the most competitive and niche hiring markets in the industry.
Basic Qualifications
- 5+ years of recruiting mid to high-level tech talent in competitive markets experience
- Experience building candidate sourcing and closing strategies
- 5+ years of passive candidate generation experience
- 5+ years of working with CRM, ATS, or related applicant tracking software systems and analytics tools experience
Preferred Qualifications
- Experience managing and prioritizing multiple searches, projects and client relationships
- Experience creating, measuring and scaling workflow among candidates, hiring managers and the recruiting team
- Experience working with essential tools of the trade, resume databases, and internet sourcing tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NJ, Jersey City - 79,200.00 - 138,700.00 USD annually
USA, TX, Austin - 72,000.00 - 126,100.00 USD annually
USA, VA, Arlington - 72,000.00 - 126,100.00 USD annually
USA, WA, Seattle - 82,700.00 - 126,100.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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