Senior / Staff Software Engineer - Parser Team
Owns the parser framework and develops high-volume parsing and normalization components for security data from diverse sources. The role requires 5+ years of software engineering experience, strong programming and data-processing skills, cybersecurity knowledge, and effective use of AI-assisted development tools.
About the job
Responsibilities
- Own the parser framework: identify reusable patterns, design parser primitives, improve hot-path performance, and raise reliability and testability standards.
- Make design decisions about schema mapping, normalization trade-offs, malformed or ambiguous data, generalization versus special-casing, and framework evolution.
- Drive high-impact parser integrations end-to-end.
- Partner with detection, data, and integration teams to ensure parsed data supports downstream use cases.
- Mentor junior engineers through design discussions and code reviews.
- Use LLM-based coding assistants, AI-driven test generation, and automated code review to accelerate development.
- Analyze unfamiliar log samples with LLMs, bootstrap integrations, and apply judgment to validate AI output.
- Automate regression testing, schema diffing, and sample ingestion.
- Help integrate AI tools into parser workflows and measure efficiency gains.
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, integration, or log processing.
- Strong proficiency in Python, Java, Ruby, or C++.
- Familiarity with JSON, XML, CSV, syslog, key-value data, and unstructured text.
- Strong command of regular expressions and pattern-matching techniques.
- Understanding of data normalization, schema design, and transformation principles.
- Experience integrating with APIs, web services, and streaming data sources.
- Demonstrated production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT.
- Working understanding of cybersecurity concepts and security-tool data.
- Strong problem-solving skills and clear communication with technical and non-technical stakeholders.
Preferred Qualifications
- Experience with cybersecurity tools and platforms, including firewalls, IDS/IPS, EDR, SIEM, and cloud security services.
- Familiarity with AWS, Azure, GCP, CloudWatch, Azure Monitor, and Cloud Logging.
- Experience with Kafka, Spark, Hadoop, or similar big-data and streaming technologies.
- Experience with Docker and Kubernetes.
- Experience using LLMs for log analysis, parser generation, or schema inference.
- Experience building AI-enabled data-engineering tooling.
- Familiarity with MCP, function calling, or agent frameworks.
Compensation and Benefits
- Highly competitive compensation package comparable to industry leaders.
- Fully remote work from anywhere in Taiwan.
- Transparent, open, feedback-driven, and collaborative work culture.
Skills
Python, Java, Ruby, C++, JSON, Xml, Csv, Syslog, Regular Expressions, Data Normalization, Schema Design, APIs, Kafka, Docker, Kubernetes
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