
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🔐 Security
🏢 Enterprise
Artificial Intelligence • Security • Enterprise
Cobalt AI is a company that specializes in AI-powered security monitoring solutions. They offer a suite of products designed for proactive security management, including the Cobalt Monitoring Intelligence platform, the Cobalt Command Center, and Cobalt Security Robots. These products integrate artificial intelligence with human verification to provide real-time monitoring of security systems, such as surveillance cameras and alarms, and enhance security operations with features like threat intelligence and travel risk monitoring. Cobalt AI's solutions aim to improve incident detection accuracy, reduce false positives, and automate repetitive security tasks, allowing organizations to enhance their security while saving costs.
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51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🔐 Security
🏢 Enterprise
Artificial Intelligence • Security • Enterprise
Cobalt AI is a company that specializes in AI-powered security monitoring solutions. They offer a suite of products designed for proactive security management, including the Cobalt Monitoring Intelligence platform, the Cobalt Command Center, and Cobalt Security Robots. These products integrate artificial intelligence with human verification to provide real-time monitoring of security systems, such as surveillance cameras and alarms, and enhance security operations with features like threat intelligence and travel risk monitoring. Cobalt AI's solutions aim to improve incident detection accuracy, reduce false positives, and automate repetitive security tasks, allowing organizations to enhance their security while saving costs.
• Full ownership of the integration service lifecycle, including reliability, roadmap execution, and long-term technical vision. • Architect and maintain an asynchronous Python-based service connecting to client systems (ACS, VMS, and alarms) via REST, MQTT, and SignalR. • Expand integration capabilities through new connectors and webhook handlers designed for large-scale enterprise event ingestion. • Develop outbound layers to orchestrate automated responses, such as lockdowns and security escalations, within customer ecosystems. • Monitor system health using alerting and retry logic to ensure resilient performance and graceful degradation of dependencies. • Construct test harnesses and mock environments to debug complex issues across third-party APIs and legacy on-premise hardware. • Collaborate with Sales Engineering and internal stakeholders to scope technical requirements and drive new integrations. • Act as a primary technical responder for integration-specific incidents, performing deep-dive debugging across vendor platforms. • Lead strategic migrations to Kubernetes and identify opportunities to integrate new communication and notification technologies.
• 5+ years of software engineering experience with significant time spent on integrations, platform work, or API development • Strong proficiency in Python, including async programming (asyncio, aiohttp, or similar) • Hands-on experience with third-party APIs, webhooks, and event-driven architectures across diverse vendors • Experience building resilient integration pipelines, including retry logic, backoff strategies, health monitoring, and graceful degradation • Systematic debugging skills, tracing problems across your platform, a third-party API, and a customer's on-premise hardware, with comfort working through inconsistent vendor documentation, legacy protocols, and customer-specific configurations • A track record of taking ownership of a service or system and improving its reliability over time • Comfort instrumenting and operating services with metrics and tracing (Datadog or equivalent) • Familiarity with Docker and containerized deployments like ECS
• Competitive salary • Equity • Full benefits (medical, vision, dental) • Flexible work arrangements
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