Senior, Staff Software Engineer – Parser Team

🕒 April 25

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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: identify patterns worth abstracting, design the primitives parser authors build on, improve performance on hot paths, and raise the reliability and testability bar across the team's output. • Make the design calls that require judgment—schema mapping, normalization trade-offs, how to handle ambiguous or malformed data, when to generalize versus when to special-case, when to evolve the framework versus work around it. • Drive high-impact parser integrations end-to-end where framework-level thinking is needed, setting the pattern that others follow. • Partner with detection, data, and integration teams to make sure parsed data serves downstream use cases, not just passes validation. • Mentor junior engineers through design discussions and code reviews, helping them grow into independent owners. • Accelerate your own parser development using LLM-based coding assistants, AI-driven test generation, and automated code review. • Use LLMs to analyze unfamiliar log samples, propose initial parsing rules, and bootstrap new integrations faster—while applying human judgment to catch what AI gets wrong. • Automate repetitive parser work—regression testing, schema diffing, sample ingestion—so the team spends more time on hard problems. • Help the team integrate AI tools into their daily parser workflows and measure the efficiency gains.

🎯 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 common log formats and data structures (JSON, XML, CSV, syslog, key-value, 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 (Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—regular use in production work, not just experimentation. You have the judgment to know when AI output is trustworthy and when it needs human expertise. • 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.**