Security Software Engineer - Gen AI

Glocomms is partnered with a cutting-edge AI-powered cybersecurity start up, who is tackling some of the most pressing digital threats in the world. We are seeking a passionate and self-sufficient Security Software Engineer to help develop and maintain advanced anti-phishing, fraud detection, and identity theft prevention solutions. If you're looking for a hybrid position in New York and have a strong foundation in cybersecurity, AI technologies, and product development, we'd love to hear from you!

• Work on building robust systems for phishing detection, identity theft prevention, and fraud detection within our security platform.
• Contribute to the full software development lifecycle, including ideation, design, development, and deployment of anti-phishing and fraud detection systems.
• Work closely with cross-functional teams, including cybersecurity researchers, engineers, and product managers, to drive product development.
• Build, fine-tune, and integrate Large Language Models (LLMs) and agents to enhance threat detection accuracy and response times.
• Take full ownership of the quality, performance, maintenance, and scalability of your products, ensuring they meet both business and technical goals.
• Stay on top of the latest developments in cybersecurity research and apply best practices to evolve the product continually.
• Solve thoughtful and complex problems, making critical business and technology tradeoffs that directly contribute to reducing digital threats.

Skills and Experience:

• At least 3 years of experience in software engineering, with a solid background in building scalable applications.
• At least 2 years of hands-on experience in cybersecurity, specifically in fraud detection, anti-phishing, or identity theft prevention.
• Strong critical thinking and problem-solving skills, with the ability to make thoughtful business and technology tradeoffs.
• Proven track record of taking ownership of projects from inception to completion with an emphasis on quality, maintenance, and product understandability.
• Comfortable managing ambiguity and executing projects independently while delivering high-quality results.
  
  

• Experience in a high-growth, early-stage startup environment.
• Proven experience building security applications or platforms.
• Familiarity with cloud-based infrastructure and deployment pipelines.