Senior / Staff Software Engineer - Parser Team
Stellar Cyber21 days ago
Remote, TaiwanSenior / Staff+
Responsibilities
- Own and evolve the parser framework, including reusable primitives, performance improvements, reliability, and testability.
- Design parsing, schema mapping, normalization, and transformation approaches for diverse and evolving security data.
- Drive high-impact parser integrations from design through delivery and establish patterns for other engineers.
- 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-generated tests, automated code review, and log analysis to accelerate parser development.
- Automate regression testing, schema diffing, and sample ingestion, and help the team adopt AI-assisted parser workflows.
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++.
- Deep familiarity with JSON, XML, CSV, syslog, key-value data, and unstructured text.
- Strong command of regular expressions and other pattern-matching techniques.
- Understanding of data normalization, schema design, and transformation principles.
- Experience integrating with APIs, web services, and streaming data sources.
- Regular production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT, with the judgment to evaluate their output.
- Working understanding of cybersecurity concepts and data emitted by security tools.
- Strong problem-solving and communication skills with technical and non-technical stakeholders.
- Preferred experience with cybersecurity tools such as firewalls, IDS/IPS, EDR, SIEM, and cloud security services.
- Preferred familiarity with AWS, Azure, GCP, CloudWatch, Azure Monitor, Cloud Logging, Kafka, Spark, Hadoop, Docker, and Kubernetes.
- Preferred experience using LLMs for log analysis, parser generation, or schema inference, or building AI-enabled data engineering tools.
- Preferred familiarity with MCP, function calling, or agent frameworks.
Benefits
- Fully remote work from anywhere in Taiwan.
- Competitive compensation package described as comparable to industry leaders such as Google and Microsoft.
- A transparent, open, feedback-driven, collaborative work culture with flexible hierarchy.
- An in-person interview may be requested as part of the interview process.
Tech Stack
Categories
Data Engineering
About Stellar Cyber
Stellar Cyber builds an open security operations platform that unifies AI-driven SIEM, NDR, and Open XDR for enterprises, managed security service providers, and public-sector teams. The company sells subscription software that ingests logs and network data to detect, correlate, and respond to threats across on-premises and cloud environments. Founded in 2017 and headquartered in San Jose, California, Stellar Cyber is privately held and broadly adopted by MSSPs.