Veri kalitesi, yapay zeka çağının boğaz ağrısı. Her Fortune 500 şirketi bunu çözmeye çalışıyor. Biz, çağrı yaptıkları takımız. Soda, Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games ve Nubank için veri kalitesi katmanı. Açık kaynak motorumuz Soda Core, Tesla, Slack, Adyen, Walmart ve JPMC gibi şirketler tarafından kullanılıyor. Kategori, yapay zeka kötü veri üzerinde çalışmadığı için hızlı bir şekilde büyüyor ve veri sorunlarını iş sorunlarına dönüşmeden önce yakalayan platformu inşa etmek için Yüksek Kademe Tam Yığın Mühendisi işe alıyoruz. Biz hakkında Soda'nın misyonu, dünya kararlarını izlemektir. Veri toplamaktan otomatik karar vermeye kadar uzanan ilk veri ve yapay zeka performans izleme platformunu inşa ediyoruz. Soda, müşterilere, üretim sonrası otomatik izleme ile üretim öncesi boru hattı veri testleriyle birlikte veri kalitesi sorunlarını bulma, anlama ve çözmelerine yardımcı oluyor. Soda, 2019 yılında Maarten (Collibra'da çalışan #5) ve Tom (yüzlerce milyon değerinde değer yaratan çok sayıda açık kaynak projenin yaratıcısı) tarafından kuruldu. Soda Cloud aracılığıyla ticarileştiriyoruz ve Point 9 Capital, Hummingbird, Singular ve Eurazeo gibi yatırımcılarla iyi finanse ediyoruz. Rolü Platform ekibimize katılacak ve arka plan hizmetlerinden üretime kadar olan tüm yolu sahip olacaksınız: Soda Cloud'u güçlendiren Java hizmetleri ve üzerinde çalıştıkları AWS/Kubernetes altyapısı. Bu rol hakkında net olmak için: öncelikle arka plan mühendissiniz. Zamanınızın çoğunu tasarlama ve inşa hizmetlerine harcıyorsun. Altyapı, üretime kadar her şeyi sahip olmanızı sağlayan el sanatınızın bir parçası, ayrı bir iş değil.

Bu DevOps veya SRE pozisyonu değil. Özellik gönderirsiniz ve alttaki platformun milyarlarca veri kümesine ölçeklendiğini kontrol edersiniz. Biz ürün mühendisleriyiz, bilet alanlar değil: kullanıcılarla konuşacaksınız, PM ile çözümler oluşturacaksınız ve sondan sonuna kadar göndereceksiniz. Elden bırakma yok, bekleme yok. Ayrıca ajansal olarak da inşa ediyoruz: AI kodlama ajanları tüm takımın gönderme yönteminin bir parçası ve sahip olduğunuz platform onları etkili kılan şeyin büyük bir parçasıdır. Ne Yapacaksınız?

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