Employer Job Description
From ShyftLabs's posting. “We” and “our” refer to the employer.
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Skills: Strong technical understanding of roles like SDE, DevOps, and Data Science, with working knowledge of Java, Python, and SQL.
Expertise in advanced sourcing (Boolean search, LinkedIn Recruiter, niche platforms) and ATS tools like Lever or Workday.
Excellent stakeholder management, negotiation, and communication skills, with a data-driven and candidate-first approach.
Basic Qualifications: Bachelor’s degree in Human Resources, Business Administration, Computer Science, or a related field.
4+ years of experience in technical recruiting, preferably in a high-growth tech startup.
Demonstrated success in sourcing and hiring for technical roles such as SDE, DevOps, Data Scientists & more.
Familiarity with Applicant Tracking Systems (ATS) like Lever or Workday.
Knowledge of technical concepts, programming languages (e.g., Java, Python, SQL), and software development methodologies.
Excellent communication, negotiation, and interpersonal skills.
Responsibilities: Collaborate with hiring managers to understand role requirements and team needs.
Design and execute sourcing strategies to build pipelines of qualified candidates for technical roles.
Leverage various platforms, networks, and creative sourcing methods to identify top talent.
Conduct initial technical screenings to evaluate candidates’ skills, experience, and cultural fit.
Guide candidates through our hiring process.
Monitor market trends closely and frame a quarterly approach.
Requirements: Technical Recruiting
- Java
- Python
- SQL
- Advanced sourcing methods
- ATS tools (Lever or Workday)
- Preferred Skills: Stakeholder management
- Communication skills
- Negotiation skills
- Qualifications: Bachelor’s degree in Human Resources, Business Administration, Computer Science, or a related field.
- 4+ years of experience in technical recruiting, preferably in a high-growth tech startup.
- Demonstrated success in sourcing and hiring for technical roles such as SDE, DevOps, Data Scientists & more.
- Familiarity with Applicant Tracking Systems (ATS) like Lever or Workday.
- Knowledge of technical concepts, programming languages (e.g., Java, Python, SQL), and software development methodologies.
- Excellent communication, negotiation, and interpersonal skills.
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