Staff Backend / Database Infrastructure Engineer

The hiring company is a YC-backed US startup building infrastructure for the voice AI ecosystem, providing a QA platform for AI voice agents with deployments in regulated industries like financial services and healthcare. The engineering team focuses on building a scalable database and platform to handle increasing concurrent voice calls.

• 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.
• Evidence of personal ownership: personally designed and built meaningful parts of systems.
• Ability to build complete systems instead of narrowly scoped components.
• Strong architectural judgment combined with a bias toward shipping and iteration.
• Experience operating without extensive process, detailed specifications, or organizational scaffolding.
• Clear written and verbal English communication.
• Daily use of AI coding tools such as Claude Code, Codex, or Cursor, with practical understanding of their trade-offs.
• Availability for substantial daily overlap with US working hours (late afternoon to evening for Europe-based candidates).

Strong advantages:

• Experience as a founding or early engineer at startups.
• Experience in modern database, data infrastructure, or observability companies.
• Open-source contributions to projects like PostgreSQL, ClickHouse, Redis, Kafka, Temporal, or LiveKit.
• Production experience with Scala, Rust, or Haskell.
• Experience with voice technology, telephony, WebRTC, audio pipelines, or real-time communications.
• Experience processing gigabytes or terabytes of data daily.
• Hands-on experience with PostgreSQL, Kafka, Redis, ClickHouse, Temporal, or custom indexing systems.
• Personal open-source or database projects built outside 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 quickly turn them into working prototypes.
• Own projects end-to-end, from ambiguous problems 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, ul. Świętokrzyska 30/63, 00-116 Warszawa, wpisana do rejestru przedsiębiorców Krajowego Rejestru Sądowego pod numerem KRS 0000673733, NIP 5252707552, REGON 367076289, działająca pod marką Talentica („Talentica"). W sprawach dotyczących przetwarzania danych osobowych możesz skontaktować się z nami pod adresem: [email protected]. Twoje dane osobowe będą przetwarzane w celu przeprowadzenia bieżącego procesu rekrutacyjnego oraz zgodnie z przedstawionymi warunkami RODO. Podanie danych jest dobrowolne, ale niezbędne do oceny kandydatury. Talentica nie podejmuje decyzji wywołujących skutki prawne wyłącznie automatycznie.