🛠 Tech Stack

💼 About This Role

You'll empower engineering teams to build secure software across a diverse product portfolio, including microservices, mobile apps, and AI-driven solutions like GenAI and LLMs. Your core impact is embedding security into every stage of the product lifecycle while safeguarding sensitive data and addressing AI-specific risks.

🎯 What You'll Do

• Perform application security design reviews and threat modeling
• Conduct penetration testing on applications and services
• Develop tooling and automation for Secure Software Development Lifecycle
• Educate engineering teams on secure coding and AI-specific risks

📋 Requirements

• Proficiency in Python or Go
• Experience with threat modeling and security testing
• Knowledge of cloud security (AWS, GCP, or Azure)
• Expertise in microservice architectures

✨ Nice to Have

• Experience with Generative AI and Large Language Model security
• Familiarity with static/dynamic code analysis tools
• Mobile application security experience

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work (2 days in office per week)
• 💰 Competitive personal development budget
• 🏋️ Wellness and fitness memberships
• 🏠 Work from home budget
• ✈️ Additional annual leave per year of service

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min
4. 4Offer· 1 week

🚩 Heads Up

• Role mixes traditional security with cutting-edge AI security, which may lead to scope creep
• Requires deep expertise in both general application security and AI-specific risks