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micro1

App Security Expert

✓ Türkiye'ye açık DoğrulandıGüvenlik16 Ekim 2026
Özet
micro1 (yapay zekâ laboratuvarları için uzman yetenek ağı) — Bir müşterinin AI projesine katkı verecek uygulama güvenliği uzmanı arıyor (sözleşmeli). Türkiye'den başvuru: Himalayas’ta konum kısıtı girilmemiş (Worldwide); ilan metninde açık teyit yok
Bu ilana nasıl başvurulur?AI destekli öneri · orijinal ilan esastır
CV anahtar kelimeleri (ilandan)
SecurityLLMAppSecTestingArchitectureOWASPDocumentation
İlan metni kısa; yalnızca ilanda geçen terimler listelendi.
Şirketin öncelikleri
  • Güvenlik ve uyumlulukPreferred Qualifications Extensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles.
  • AI/LLM ve veri odaklı çalışmaStrong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices.
  • Kod kalitesi, test ve code reviewStrong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices.
Muhtemel mülakat konuları
  • Güvenlik senaryosu: AppSec üzerine tasarım ve önceliklendirme
  • Davranışsal: “Güvenlik ve uyumluluk” konusunda STAR formatında 1–2 örnek
🇹🇷 Türkiye notu
  • İlanda “Contractor” geçiyor: Türkiye'den genellikle şahıs şirketiyle fatura kesilir; şartlar sağlanırsa yazılım hizmet ihracatında %100 kazanç indirimi (GVK 89/1-13) uygulanabilir. Hizmet ihracatı rehberi →
Konumlandırma: CV'nin ilk satırında Security, LLM, AppSec deneyimini öne çıkar, bunu güvenlik/uyumluluk projelerinle destekle; başlığa “Based in Türkiye (UTC+3) · open to contractor/EOR” ekle.

Bu öneriler ilan metninden kural tabanlı olarak çıkarıldı; tırnak içindekiler ilandan alıntıdır. Şirket hakkında ilanda yazmayan bilgi eklenmez. Başvurmadan önce orijinal ilanı oku.

İlan metni (orijinal, İngilizce)

Role Title: App Security Expert Role Type: Contractor Location: Remote micro1 is engaging App Security Experts to contribute to a customer’s dynamic project focused on real-world application security. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Design and implement small, purpose-built application fixtures with embedded security vulnerabilities or secure solutions, specifically addressing OWASP LLM risks such as Sensitive Information Disclosure and Excessive Agency. Develop deterministic test cases and security-context manifests to robustly assess application security posture. Create detailed hidden answer keys to enable accurate AI or scanner evaluation of vulnerable versus secure code. Evaluate and iterate on pipeline methodologies to ensure synthetic tasks and fixtures are challenging yet realistic for AppSec assessment. Document technical insights and methodologies, ensuring clarity in written feedback and communication. Collaborate through clear and thorough written and verbal communication to share findings and review peer contributions. Engage with agent-based security architecture and contribute to continuous improvement of the evaluation pipeline. Preferred Qualifications Extensive experience (ideally 5+ years) in application security, secure software development, or CyberSWE roles. Strong understanding of OSWE, LLM security, AI-powered static analysis (AI-SAST), and AppSec best practices. Proven track record designing or evaluating security architecture for traditional and agent-based applications. Expertise in building, securing, and testing application codebases, including identifying and remediating advanced vulnerabilities. Exceptional written and verbal communication skills, with a focus on precise technical documentation and collaborative feedback. Experience with synthetic security fixtures and deterministic testing approaches is highly desirable. Demonstrated ability to deliver thoughtful insights and actionable security recommendations in a remote contribution context. Originally posted on Himalayas

Özet, ilan metnindeki bilgilerden yapay zekâ yardımıyla Türkçe hazırlanmıştır; bağlayıcı olan orijinal ilandır.