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Senior / Staff Software Engineer - Parser Team

4 months ago
Japan, Taiwan
Full-time
Senior
Security Engineer
Software Development
Apache Spark AWS Azure C++ Cybersecurity Docker GCP Hadoop Java JSON Kafka Kubernetes LLM Python Ruby SIEM XML
Apply Now
Stellar Cyber

Stellar Cyber

Stellar Cyber provides Next Gen SIEM Security, Network Detection, and Response platforms with AI-driven threat analysis, empowering lean security teams to secure environments effectively.

Professional Services
51-250
Founded 2017
$80M raised
View All Jobs 16

Description

  • Own the parser framework by defining reusable primitives, improving performance, and raising reliability and testability.
  • Design schema mapping, normalization, and parsing decisions for ambiguous, malformed, and vendor-specific data.
  • Develop and maintain parsing and normalization components for large volumes of security data from many sources.
  • Drive high-impact parser integrations end-to-end and establish patterns for other engineers to follow.
  • Partner with detection, data, and integration teams to ensure parsed data supports downstream use cases.
  • Mentor junior engineers through design reviews, code reviews, and technical guidance.
  • Use AI-assisted workflows to accelerate parser development, test generation, and code review.
  • Automate repetitive parser tasks such as regression testing, schema diffing, and sample ingestion.
  • Help integrate AI tools into team workflows and measure productivity 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++.
  • Deep familiarity with common log formats and data structures, including JSON, XML, CSV, syslog, key-value, and unstructured text.
  • Strong command of regular expressions and other pattern-matching techniques.
  • Solid understanding of data normalization, schema design, and transformation principles.
  • Experience integrating with APIs, web services, and streaming data sources.
  • Demonstrated ability to use AI tools such as Copilot, Cursor, Claude, or ChatGPT to accelerate engineering workflows in production work.
  • Working understanding of cybersecurity concepts and the kinds of data security tools emit.
  • Strong problem-solving skills and clear communication with both engineers and non-technical stakeholders.
  • Experience with cybersecurity tools and platforms such as firewalls, IDS/IPS, EDR, SIEM, and cloud security services.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and their logging services.
  • Experience with big data and streaming technologies such as Kafka, Spark, Hadoop, or similar.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Hands-on experience using LLMs for log analysis, parser generation, or schema inference, or building internal AI tooling for data engineering workflows.
  • Familiarity with AI-native integration patterns such as MCP, function calling, or agent frameworks.

Benefits

  • Highly competitive compensation package on par with leading tech companies.
  • Fully remote work from anywhere in Taiwan or Japan.
  • Transparent, open, and feedback-driven culture with no rigid hierarchies.
  • Collaborative and diverse team environment that encourages innovation.
  • Opportunity to work on cutting-edge AI- and automation-driven cybersecurity products.

Interested in this position?

Apply directly on the company website

Apply Now

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