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Company Description
Skala is a specialized IT recruitment partner that builds high performing software, infrastructure, data, AI, and cybersecurity teams by combining deep market knowledge with an agile, data enabled approach. Focused exclusively on the technology sector, the firm runs full cycle searches that start with a business first conversation to clarify team needs, role scope, and the ideal candidate profile, then move into targeted sourcing, rigorous selection on experience and fit, and recommendations for client side technical interviews, with hands on support through offer and hiring closure. Skala recruits across key IT domains including frontend, backend, and full stack software engineering, DevOps, Cloud and SRE, data science, machine learning and AI, cybersecurity roles such as SOC analysts and security engineers, system and network administration, and senior IT architects and technology leaders. To accelerate delivery, Skala leverages the IT-Leaders platform by Tech Hire S.A. in Poznan, Poland, a community driven ecosystem with a proprietary database of over 22,000 IT specialists, an external job board, and active promotion across LinkedIn, Facebook, GitHub, and niche groups. This multi channel engine is complemented by networking and referrals and can be paired with employer branding initiatives that highlight teams, values, and culture to attract in demand talent. Clients typically see the first well matched candidates within 3 to 5 days, reflecting Skala's strong network, process discipline, and ability to translate business requirements into realistic, recruitable profiles. For candidates, the platform reverses the traditional model by allowing tech professionals to define skills and compensation expectations so that companies apply to them, reducing noise and speeding up relevant conversations. For employers, Skala offers flexible cooperation models from outsourced recruitment to project based campaigns, always anchored in measurable outcomes, transparent communication, and a clear understanding of current salary benchmarks and market dynamics.
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