Software Engineer II (AI/Cybersecurity)

TL;DR

Software Engineer II (AI/Cybersecurity): Building internal products, APIs, and services that enable forward-deployed teams to scale customer-facing solutions with an accent on the full product lifecycle from prototype to enterprise rollout. Focus on designing secure, scalable systems for Fortune 500 enterprises and leveraging AI-augmented development workflows.

Location: United States (Must be eligible to access controlled technology under U.S. export control laws)

Company

hirify.global is an AI-native cybersecurity company protecting the world's largest enterprises from sophisticated cyber attacks.

What you will do

• Design and ship internal products, APIs, and services that allow forward-deployed teams to prototype and scale solutions quickly.
• Own the full product lifecycle, moving features from experimental prototypes to early access and general availability.
• Build secure, scalable systems processing billions of security events for Fortune 500 enterprises.
• Leverage AI coding assistants to enhance productivity and automate repetitive development work.
• Partner with field teams and customers to understand real-world pain points and iterate on solutions.

Requirements

• 4+ years of professional software development experience.
• Backend development proficiency in Python, TypeScript, or Go.
• Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, and performance optimization.
• Must be eligible to access controlled technology under U.S. export control laws.

Nice to have

• Experience building internal platforms, developer tools, or systems used by other engineering teams.
• Background in taking products through multiple maturity stages (prototype → pilot → scale).
• Exposure to GTM, sales engineering, or other customer-facing engineering environments.

Culture & Benefits

• AI-native engineering culture that expects and encourages AI-assisted development.
• Opportunity to operate across various stages of product maturity.
• Direct line to business impact where work compounds across every customer engagement.
• Collaborative environment with high-signal feedback from technical internal users.

Hiring process

• AI-Augmented Development Challenge: A take-home assignment (2–4 hours) to be completed within one week.
• Video interviews and identity validation.
• Pre-employment security and privacy checks.