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Senior or Staff Software Engineer (Cybersecurity)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior or Staff Software Engineer (Cybersecurity): Designing and maintaining parser and normalization components that transform security data from hundreds of sources into a unified schema with an accent on large-volume processing, diverse log formats, and evolving vendor outputs. Focus on schema design, handling ambiguous data, improving parser framework performance, and using AI-assisted workflows for testing and integration development.
Location: Remote from anywhere in Taiwan. An in-person interview may be requested during the hiring process.
Company
develops an AI-driven cybersecurity platform covering SIEM, NDR, Open XDR, and multi-layer AI capabilities for enterprises, government agencies, and managed security service providers.
What you will do
- Own the parser framework, including reusable primitives, hot-path performance, reliability, and testability.
- Design parsing and normalization components that convert security data from firewalls, endpoints, cloud logs, and SaaS tools into a unified schema.
- Make schema mapping and normalization decisions for ambiguous, malformed, and evolving vendor data.
- Drive high-impact parser integrations and collaborate with detection, data, and integration teams.
- Use LLM-based coding assistants, AI-generated tests, automated code review, and workflow automation to accelerate parser development.
- Mentor junior engineers through design discussions and code reviews.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of software engineering experience focused on data parsing, integrations, or log processing.
- Strong proficiency in Python, Java, Ruby, or C++.
- Experience with JSON, XML, CSV, syslog, key-value data, unstructured text, regular expressions, schema design, normalization, and transformation.
- Experience integrating APIs, web services, and streaming data sources, with a working understanding of cybersecurity data.
- Production experience using AI tools such as Copilot, Cursor, Claude, or ChatGPT, along with strong problem-solving and communication skills.
Nice to have
- Experience with firewalls, IDS/IPS, EDR, SIEM, or cloud security platforms.
- Familiarity with AWS, Azure, GCP, and cloud logging services.
- Experience with Kafka, Spark, Hadoop, Docker, or Kubernetes.
- Hands-on experience applying LLMs to log analysis, parser generation, schema inference, or data engineering workflows.
- Familiarity with MCP, function calling, or agent frameworks.
Culture & Benefits
- Fully remote work within Taiwan.
- Competitive compensation positioned alongside major technology companies.
- Transparent, feedback-driven environment with open communication and limited hierarchy.
- Culture focused on diversity, collaboration, autonomy, and innovation.
- AI is used both in the cybersecurity products and in engineering workflows.
Hiring process
- The process may include an in-person interview with the team.
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