
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
💵 $180k - $245k / 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 one or more integration domains end-to-end: roadmap, architecture decisions, trade-offs, and delivery. You identify what needs solving, scope it, and drive it to completion. • Make the architectural calls—system boundaries, API contracts, reliability targets, build-vs-buy trade-offs—that require deep judgment and context no AI can replace. • Serve as a technical mentor to the engineering team—through design reviews, pairing sessions, and code reviews—with a focus on growing engineers’ ability to independently own projects and make sound design decisions. • Set technical direction and champion engineering rigor across the team: quality, documentation, and best practices in secure coding and distributed systems. • Accelerate your own design and development workflow using LLM-based coding assistants, AI-driven testing, and automated code review. • Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage—using AI and scripting, so the team spends more time on high-value work. • Champion AI adoption across the team: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 8+ years of backend software development experience, with 3+ years in a Staff-level or tech lead role where you owned a domain or led a team. • Proficiency in Python, Go, or Java with a strong foundation in building and operating microservices in production. • Deep experience with API design and integration—both traditional (REST, GraphQL, streaming) and AI service integration (LLM APIs, embedding services)—including secure API patterns (OAuth, API keys, rate limiting). • Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow, or similar). • Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work. You have the judgment to know when AI output is trustworthy and when it needs human expertise. • Track record of mentoring engineers and raising the technical capabilities of a team. • Excellent system design, debugging, and communication skills. You can explain complex trade-offs clearly to both engineers and product stakeholders.
• Pre-IPO Stock Options • Medical, Dental & Vision care • 401(k) • Employee Assistance Program • Employee Discount Program • Life Insurance • Paid time off • Referral Program • Rewards and Recognition Program
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