Senior / Staff Software Engineer – Parser Team

🕒 April 25

🇹🇼 Taiwan – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 48%

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Stellar Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $38M Series B on 2021-11

Cybersecurity • Artificial Intelligence • Enterprise

Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.

📋 Description

• Own the parser framework, including designing reusable primitives, improving hot-path performance, and raising reliability and testability standards • Make schema mapping, normalization, malformed-data handling, generalization, special-casing, and framework evolution decisions • Drive high-impact parser integrations end-to-end • Design, develop, and maintain parsing and normalization components for security data from hundreds of sources • Transform raw security data into the unified schema used by detection and analytics engines • Handle large volumes, diverse log formats, and constantly evolving vendor outputs • Partner with detection, data, and integration teams to support 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 and bootstrap integrations using LLMs while applying human judgment • Automate regression testing, schema diffing, and sample ingestion • Help the team integrate AI tools into daily parser workflows and measure efficiency gains • Potentially attend an in-person interview

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 5+ years of software engineering experience with a focus on data parsing, integration, or log processing • Strong proficiency in Python, Java, Ruby, or C++ • Deep familiarity with JSON, XML, CSV, syslog, key-value, and unstructured text formats • 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 regularly in production work • Judgment to assess when AI output is trustworthy and when human expertise is needed • Working understanding of cybersecurity concepts and data emitted by security tools • Strong problem-solving skills and clear communication with engineers and non-technical stakeholders • Preferred: Experience with cybersecurity tools and platforms, including firewalls, IDS/IPS, EDR, SIEM, and cloud security services • Preferred: Familiarity with AWS, Azure, GCP, CloudWatch, Azure Monitor, or Cloud Logging • Preferred: Experience with Kafka, Spark, Hadoop, or similar technologies • Preferred: Experience with Docker and Kubernetes • Preferred: Hands-on experience using LLMs for log analysis, parser generation, or schema inference, or building AI-powered data engineering tooling • Preferred: Familiarity with MCP, function calling, or agent frameworks

🏖️ Benefits

• Fully remote work from anywhere in Taiwan • Highly competitive compensation package on par with industry leaders like Google and Microsoft • Transparency and openness without rigid hierarchies • Feedback-driven culture encouraging open communication and innovation • Diversity, openness, and collaboration-focused culture