Software Engineer - Platform / Core Infrastructure - Americas

XBOW is building an AI-powered platform for offensive security that autonomously discovers, validates, and exploits vulnerabilities. The Software Engineer - Platform / Core Infrastructure will design, implement, optimize, and operate scalable distributed infrastructure across multiple cloud providers and deployment contexts, while improving resilience, deployment, monitoring, and developer experience.

Responsibilities:

• 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 work with incomplete information
• • Curious, practical, and eager to work across layers of the stack when needed
• • You think proactively about failure modes and bring experience implementing disaster recovery and business continuity plans that keep critical systems running
• • Experience with deploying infrastructure to multiple environments (SaaS, on-prem) and know how to build resilient systems that handle the complexity of such environments
• • Familiarity with modern observability practices (logs, metrics, tracing) and how to apply them
• • Experience working in an early stage startup
• • Prior experience building developer tooling or security products
• • Hands-on experience with OpenSearch or Elasticsearch at scale
• • Previous experience building platform teams or working on internal developer platforms