
11 - 50 employees
Founded 2024
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
Cybersecurity • Artificial Intelligence • SaaS
XBOW is an AI-powered penetration testing platform that delivers human-level security testing at machine speed. It utilizes hundreds of specialized AI agents that collaborate to discover, validate, and exploit vulnerabilities autonomously, allowing companies to test their applications rapidly. With a focus on comprehensive coverage and efficiency, XBOW enables continuous security validation for applications, ensuring they remain secure against emerging threats. Its capabilities include testing every endpoint and attack vector, making it a crucial tool for organizations looking to maintain security without the traditional bottlenecks of manual pentesting.
🕒 March 18
🌐 United States, Canada, +1 more countries – Remote
💵 $100k - $350k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏗️ Platform Engineer
👻 Ghost score 34%
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11 - 50 employees
Founded 2024
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
Cybersecurity • Artificial Intelligence • SaaS
XBOW is an AI-powered penetration testing platform that delivers human-level security testing at machine speed. It utilizes hundreds of specialized AI agents that collaborate to discover, validate, and exploit vulnerabilities autonomously, allowing companies to test their applications rapidly. With a focus on comprehensive coverage and efficiency, XBOW enables continuous security validation for applications, ensuring they remain secure against emerging threats. Its capabilities include testing every endpoint and attack vector, making it a crucial tool for organizations looking to maintain security without the traditional bottlenecks of manual pentesting.
• Design and implement scalable, secure infrastructure systems deployable across AWS, Azure, OCI, SaaS, and on-prem environments • Tune and optimize compute, storage, networking, and observability services • Develop core services in TypeScript, Kotlin, and Go • Support large-scale systems with event-driven architectures • Own problems end-to-end from design through deployment and production support • Help define engineering practices and infrastructure design • Partner with engineers, AI researchers, and security researchers • Implement disaster recovery and business continuity strategies • Improve how services are built, deployed, and monitored at scale
• Strong experience building and operating scalable, distributed systems on cloud infrastructure such as AWS or similar • Extensive experience with containerisation and orchestration technologies, such as Docker and Kubernetes • Experience with infrastructure as code, such as Terraform or CDK • Experience with event-driven architectures, message queues, or asynchronous workflows, such as Kafka • Track record of performance tuning across cloud services, databases, and compute layers • Ability and eagerness to learn new tools, languages, and technologies • Strong problem-solving skills and ability to work with incomplete information • Experience implementing disaster recovery and business continuity plans • Comfortable working in a fast-paced startup and navigating ambiguity • Experience deploying infrastructure across SaaS and on-prem environments (bonus) • Familiarity with observability practices including logs, metrics, and tracing (bonus) • Experience in an early-stage startup (bonus) • Prior experience building developer tooling or security products (bonus) • Hands-on experience with OpenSearch or Elasticsearch at scale (bonus) • Previous experience building platform teams or internal developer platforms (bonus)
• Generous equity package • Career growth opportunities • Opportunity to shape the role and lead the function • Meaningful, technically complex work • Remote work • Support to travel and collaborate with colleagues in person
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