Software Engineer - SBOM (AI-Native)

Location: Ho Chi Minh City, Vietnam

Company

hirify.global develops cybersecurity technology for protecting IT, OT, and ICS critical infrastructure, including software composition analysis and vulnerability detection capabilities.

What you will do

• Design, implement, and maintain features for BOM generation and SCA scanning engines.
• Use agentic AI coding tools such as Claude, Copilot, and Cursor for development, testing, code review, and iteration.
• Build and improve scalable data pipelines ingesting package registry, vulnerability, and license data.
• Investigate detection accuracy issues and improve scan quality.
• Write tested code, participate in reviews with senior engineers, and collaborate with QA, product, and engineering teams.
• Evaluate emerging AI coding technologies and help adopt tools that improve developer experience.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 1–3+ years of professional experience.
• Strong foundations in data structures and algorithms, plus proficiency in at least one systems or backend language: Python, Go, C, C++, Java, or Rust.
• Hands-on experience using AI coding tools such as Claude Code, Copilot, Cursor, ChatGPT, or similar on actual projects.
• Understanding of core machine learning concepts, including classification, embeddings, and evaluation metrics.
• Ability to parse, transform, and analyze structured and unstructured datasets.
• Familiarity with Git and collaborative development workflows.
• Ability to read and communicate in English, both written and verbal.
• Curiosity, ownership, and a habit of verifying AI tool output.

Nice to have

• Rust experience through personal projects, coursework, or open-source contributions.
• Exposure to LLM APIs, prompt engineering, RAG, or AI-assisted features.
• Experience with CI/CD pipelines, Docker, or Linux environments.
• Open-source contributions.

Culture & Benefits

• Fast shipping combined with rigorous code reviews.
• AI tools are expected to amplify, not replace, sound engineering judgment.
• Cross-functional collaboration across QA, product, and engineering teams.
• Equal employment opportunities and a workplace free from discrimination and harassment.