Software Engineer, Platform Security

TL;DR

Software Engineer, Platform Security (AI Platform): Design, develop, and maintain secure software for core platform functionalities with an accent on authentication and authorization systems, secure communication channels, and data storage access controls. Focus on integrating security best practices, conducting code reviews, implementing automated testing, and responding to security incidents.

Location: Remote within the US

Salary: $153,000–$238,000 annually

Company

hirify.global is the Work AI platform that powers intelligent search, AI assistants, and scalable AI agents for enterprises across industries.

What you will do

• Design, develop, and maintain secure software focusing on authentication, authorization, secure communications, and data access controls.
• Collaborate with engineering and product teams to integrate security best practices into the development lifecycle.
• Conduct security code reviews, identify risks, and implement automated security testing.
• Respond to security incidents and continuously improve the platform's security posture.
• Document security processes and best practices.

Requirements

• BA/BS in computer science or related (MS preferred); 5+ years in software development with security focus.
• Proven experience designing secure authentication and authorization systems.
• In-depth knowledge of secure coding (OWASP Top 10), TLS/SSL, and security testing tools.
• Strong coding skills (Go/Python/Java/C++) and cloud/container security (AWS/GCP, Docker/Kubernetes).
• Excellent problem-solving, communication, and teamwork skills.

Nice to have

• Thrive in customer-focused, cross-functional environments.
• Proactive attitude to learn and own security aspects.

Culture & Benefits

• Comprehensive benefits: medical, vision, dental, generous time-off, 401k.
• Home office stipend, annual education and wellness stipends.
• Vibrant culture with events and daily healthy lunches.
• Commitment to diversity and inclusion.

Hiring process

• AI-focused exercise or discussion in interviews to assess AI integration.