Staff Backend / Database Infrastructure Engineer

We are recruiting for a fast-growing, YC-backed US startup building infrastructure for the voice AI ecosystem. The company provides a QA platform for AI voice agents, including pre-deployment simulations, production monitoring, observability, and automated red-teaming. Its technology has analyzed over 5 million calls and tested more than 10,000 voice agents, with deployments in regulated industries such as financial services and healthcare. The engineering team is focusing on building its own database and scaling the platform to handle 100,000+ concurrent calls, aiming for one million in the long term.

• At least 5 years of production backend engineering experience.
• Hands-on experience building or core-contributing to a database, queue, indexing layer, or large-scale data system.
• Strong understanding of storage, ingestion, and query paths.
• Experience designing and scaling distributed systems under real production load.
• Ability to discuss previous systems quantitatively including throughput, data volume, latency, SLAs, bottlenecks, and failure modes.
• Demonstrated personal ownership in system design and build.
• Ability to build complete systems rather than narrowly scoped components.
• Strong architectural judgment with bias toward shipping and iteration.
• Experience operating without extensive process or detailed specifications.
• Clear written and verbal English communication.
• Daily use of AI coding tools such as Claude Code, Codex, or Cursor.
• Availability for substantial daily overlap with US working hours.

Strong advantages:

• Experience as a founding or early engineer in a startup.
• Experience within modern database, data infrastructure, or observability companies.
• Open-source contributions to projects like PostgreSQL, ClickHouse, Redis, Kafka, Temporal, or LiveKit.
• Production experience with systems languages such as Scala, Rust, or Haskell.
• Experience with voice technology, telephony, WebRTC, audio pipelines, or real-time communications.
• Experience building systems processing gigabytes or terabytes of data per day.
• Hands-on experience with PostgreSQL, Kafka, Redis, ClickHouse, Temporal, or custom indexing systems.
• Personal database or open-source projects outside primary employment.

• Lead the design and development of a purpose-built database and indexing architecture.
• Scale the simulation engine toward 100,000+ concurrent voice calls.
• Build high-throughput ingestion, storage, and query infrastructure.
• Develop systems for processing call recordings, transcripts, metadata, and evaluation results.
• Improve reliability, latency, and performance across the platform’s highest-load paths.
• Build infrastructure supporting AI red-teaming and production monitoring.
• Make key architectural decisions and turn them into working prototypes quickly.
• Own projects end-to-end, from an ambiguous problem to production deployment.
• Help establish the technical direction for a system that can become a long-term company moat.

Administratorem Twoich danych osobowych jest ITBS Sp. z o.o. z siedzibą w Warszawie, działająca pod marką Talentica.

Proces rekrutacyjny wymaga znajomości języka angielskiego i dostępności na znaczące nakładanie się godzin pracy z godzinami pracy w Stanach Zjednoczonych.

Podanie danych jest dobrowolne, ale niezbędne do udziału w procesie rekrutacji. Dane będą przetwarzane zgodnie z polityką prywatności i tylko w ramach potrzeb rekrutacji.