
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
💵 $190k - $260k / year
⏰ Full Time
🔴 Lead
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 2%
Airflow
AWS
Azure
Cyber Security
Distributed Systems
Google Cloud Platform
GraphQL
Java
Kafka
Kubernetes
Microservices
Python
RabbitMQ
Go
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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, including roadmap, architecture decisions, trade-offs, and delivery • Identify problems, scope work, and drive projects to completion • Make architectural decisions regarding system boundaries, API contracts, reliability targets, and build-vs-buy trade-offs • Architect and deliver microservice-based solutions using REST, GraphQL, streaming APIs, MCP, and LLM-powered automation • Connect the platform with cybersecurity tools and third-party services • Mentor engineers through design reviews, pairing sessions, and code reviews • Set technical direction and champion quality, documentation, secure coding, and distributed-systems best practices • Accelerate design and development using LLM coding assistants, AI-driven testing, and automated code review • Automate builds, deployments, monitoring, and incident triage using AI and scripting • Champion AI adoption, build internal tooling, and measure efficiency gains • Attend an on-site interview as a successful finalist
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 8+ years of backend software development experience • 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 • Strong foundation in building and operating microservices in production • Deep experience with API design and integration, including REST, GraphQL, streaming, LLM APIs, and embedding services • Experience with secure API patterns, including OAuth, API keys, and rate limiting • Strong background in distributed systems, message queues such as Kafka and RabbitMQ, or orchestration frameworks such as Celery and Airflow • Demonstrated ability to use AI tools such as Copilot, Cursor, Claude, ChatGPT in production engineering workflows • Track record of mentoring engineers and raising team technical capabilities • Excellent system design, debugging, and communication skills • Preferred: Experience in cybersecurity domains such as SOAR, EDR, SIEM, or XDR • Preferred: Experience with large-scale data processing, real-time pipelines, or event-driven architectures • Preferred: Familiarity with AWS, Azure, GCP, Kubernetes, and Helm • Preferred: Experience with MCP, function calling, agent orchestration frameworks, LLMs, or AI services
• 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 • Bonus opportunity • Career growth opportunities
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