Platform / DevOps Engineer

Role overview Own infrastructure supporting a conversational AI platform across its runtime, development environment, and underlying systems. The role spans public and private cloud deployments, with infrastructure choices affecting response speed, tenant isolation, compliance, reliability, and inference cost. You’ll help build systems that can support voice interactions with sub-second latency and dependable behavior in production.

Responsibilities - Design and operate infrastructure across public and private cloud environments. - Support the platform’s runtime and visual development environment, along with the layers beneath them. - Address performance, multi-tenant isolation, compliance, and inference cost as core infrastructure concerns. - Build systems that support fast, fluent, and reliable conversational experiences under customer workloads. - Use AI tools in engineering work and review generated changes to ensure they are understood and production-ready.

Requirements - Production engineering experience relevant to platform or DevOps work; the source emphasizes shipping and owning production changes. - Ability to work across cloud infrastructure and the systems that support a platform end to end. - Experience using AI tools as part of daily engineering work, with judgment to review their output. - Fluent English (B2) and Polish (C1); other languages are welcome.

Nice to have - Experience with real-time audio infrastructure such as SIP, WebRTC, or RTP. - Experience optimizing inference costs. - Familiarity with banking or fintech compliance.

Benefits and work setup - Remote, hybrid, or office work, with flexible hours and a choice between B2B and employment contract arrangements. - Company-paid AI tooling and model access. - Direct ownership, close work with engineering leadership, and a low-bureaucracy working environment. - Competitive salary; no amount is specified.