We're looking for a Platform Infrastructure Research Engineer who's passionate about building scalable systems and solving hard problems in ambiguous environments. In this role, you'll design and implement the complex distributed infrastructure that powers our core AI engine and distributed analysis systems, enabling XBOW to run seamlessly across multiple cloud providers (AWS, Azure, OCI etc.) and contexts (SaaS, on prem).
Requirements
- 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
Benefits
- Competitive salary and a generous equity package
- Meaningful work with a fast-paced startup
- Opportunities for career growth and professional development
- Flexible work arrangements, including remote work options