
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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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.
• Own the parser framework, including abstraction patterns, parser primitives, hot-path performance, reliability, and testability. • Make schema mapping and normalization design decisions, including handling ambiguous or malformed data and framework evolution. • Drive high-impact parser integrations end-to-end. • Partner with detection, data, and integration teams to support downstream use cases. • Mentor junior engineers through design discussions and code reviews. • Design, develop, and maintain parsing and normalization components for security data from hundreds of sources. • Use AI-assisted coding, test generation, code review, log analysis, regression testing, schema diffing, and sample ingestion workflows. • Help integrate AI tools into parser workflows and measure efficiency gains.
• 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, and unstructured text formats. • Strong command of regular expressions and pattern-matching techniques. • Understanding of data normalization, schema design, and transformation principles. • Experience integrating APIs, web services, and streaming data sources. • Demonstrated production use of AI tools such as Copilot, Cursor, Claude, or ChatGPT to accelerate engineering workflows. • Judgment to assess when AI output requires human expertise. • Working understanding of cybersecurity concepts and security-tool data. • Strong problem-solving skills and clear communication with engineers and non-technical stakeholders. • Preferred: experience with cybersecurity tools and platforms, cloud platforms and logging services, big data and streaming technologies, Docker, Kubernetes, LLM-based log analysis or parser generation, and MCP, function calling, or agent frameworks.
• Pre-IPO Stock Options (equity opportunity) • Medical, Dental & Vision care • Life Insurance • 401(k) • Employee Assistance Program • Paid time off • Referral Program • Rewards and Recognition Program • Competitive salary • Career growth opportunities
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