
Contract Technical Recruiter – Cloud, Infrastructure, AI/ML
Posted 10 hours ago

Posted 10 hours ago
This is a fully remote position, open to applicants in United States.
• Identify, engage, assess, and provide high-quality technical talent to meet the evolving needs of Rackspace Technology.
• Recruit across various domains including Cloud, Infrastructure, AI/ML, Data Engineering, Networking, Security, DevOps/SRE, Software Engineering, and other emerging technologies.
• Collaborate with hiring managers to gain insights into technical requirements, business goals, team structures, desired talent profiles, and success factors.
• Oversee the complete recruitment lifecycle, from sourcing and screening candidates to coordinating interviews and negotiating offers.
• Develop talent pipelines across diverse technical fields.
• Advise and inform hiring teams on best practices in talent acquisition.
• Maintain records of candidate interactions and progress within ATS, HRIS, and sourcing tools.
• Utilize Boolean searches, LinkedIn Recruiter, professional communities, technical networks, referrals, internal talent pools, and other platforms.
• Ensure a professional, transparent, responsive, and engaging experience for candidates.
• Communicate Rackspace Technology’s value proposition, culture, career opportunities, technological capabilities, and customer impact effectively.
• Keep accurate records of candidates and requisitions in recruiting systems.
• Adhere to recruiting processes, documentation standards, data privacy regulations, and employment laws.
• Leverage recruiting data and metrics to assess funnel effectiveness, sourcing performance, candidate conversion rates, aging, and time-to-fill.
• Proven experience in recruiting technical talent within a corporate, RPO, staffing, consulting, managed services, or technology context.
• Strong background in recruiting across various technical disciplines.
• Demonstrated ability to source and engage passive technical candidates in competitive talent markets.
• Familiarity with cloud computing, infrastructure, AI/ML, data engineering, networking, DevOps/SRE, software engineering, or related technology fields.
• Ability to comprehend technical terminology and differentiate between profiles in engineering, architecture, operations, consulting, and technical delivery.
• Experience managing multiple requisitions and priorities in a fast-paced setting.
• Strong stakeholder management and consultative recruiting capabilities.
• Experience in conducting structured candidate evaluations and presenting qualified candidates to hiring teams.
• Excellent written and verbal communication skills.
• Proficient in using applicant tracking systems, LinkedIn Recruiter, sourcing platforms, and recruiting technologies.
• Workday Recruiting experience preferred.
• Experience with AI-enabled recruiting, sourcing, or talent intelligence tools.
• Bachelor’s degree or equivalent combination of education and relevant professional experience.
• Annual bonus or incentives.
• Equity awards.
• Employee Stock Purchase Plan (ESPP).
• Comprehensive benefits package.
• Commitment to equal employment opportunity.
• Disability and special-needs accommodations.
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