11 - 50 employees

Founded 2024

Cybersecurity • AI • 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.

Software Engineer

• Platform, Core Infrastructure

🔥 9 hours ago

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11 - 50 employees

Founded 2024

Cybersecurity • AI • SaaS

📋 Description

• Design and implement infrastructure systems that scale reliably and securely, and can be deployed across multiple cloud environments (AWS, Azure, OCI etc.) and contexts (SaaS, on prem). • Tune and optimize cloud services across compute, storage, networking, and observability to drive performance, reliability and maintainability of core services. • Develop our core services, written in TypeScript, Kotlin and Go (and pick them up quickly if you haven’t used them before) to support our unique deployment and infrastructure requirements. • Support large-scale systems with event driven architectures. • Own problems end-to-end—from design through deployment to production support • Navigate ambiguity and help define how we build as much as what we build • Partner closely with other engineers, AI researchers and Security researchers to enable high-quality, high-velocity product development • Design for resilience by implementing disaster recovery and business continuity strategies that ensure uptime, even when things break • Improve how we build, deploy, and monitor services at scale

🎯 Requirements

• Strong experience building and operating scalable, distributed systems on cloud infrastructure such as AWS or similar. • Extensive experience with Containerisation and Orchestration technologies (e.g. Docker and Kubernetes). • Comfortable working with infrastructure as code (e.g., Terraform, CDK) and see infra as part of the engineering system—not something separate from it. • Experience with event-driven architectures, message queues, or async workflows (for example, using Kafka). • A track record of performance tuning across cloud services, databases, and compute layers • Eager to learn new tools, languages, and technologies as needed • A thoughtful communicator who values clarity and simplicity and is comfortable working in a fast-paced startup and navigating ambiguity • Strong problem-solving skills and the ability to wo