Это настоящие вакансии?
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Role practice
Выберите роль по направлению backend, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
Databricks
backend
Design and build the large-scale backend services and control plane that power the multi-cloud Databricks platform, owning critical microservices spanning provisioning, orchestration, and platform APIs. The work emphasizes reliability, scalability, and clean service architecture across AWS, Azure, and GCP. An interview would probe large-scale distributed system design, service decomposition and API design, and operating highly available, fault-tolerant backend systems in a multi-tenant cloud environment.
Mercury
backend
Build and own backend services in Mercury's roughly two-million-line Haskell codebase that powers banking, payments, and treasury products for over 300,000 startups, designing type-safe APIs and data models on PostgreSQL while collaborating closely with product and frontend teams. You'd ship features end-to-end against high-availability, money-movement systems where correctness is non-negotiable. A technical interview would probe your ability to model a domain with strong static types, reason about purity and effects in Haskell, and design schemas and transactions that keep financial state consistent under concurrency.
Ramp
backend
Builds the core backend systems that authorize payments, categorize spend, flag risk, and close the books for 50,000+ companies moving over $100B in annualized spend through Ramp. Owns services and data models in a Python/Flask and PostgreSQL stack with asynchronous processing over RabbitMQ. A technical interview would probe backend and data-model design for a financial platform, transactional correctness and idempotency, and how you scale and debug high-throughput payment and ledger services.
SpaceX
backend
Write Linux-based embedded software for the custom processors and microcontrollers inside Starlink user terminals and phased-array hardware, owning firmware and low-level drivers that ship to millions of devices in the field. You'd work in C and C++ close to the silicon, balancing performance, memory, and reliability on constrained hardware. A technical interview would probe embedded C/C++ fundamentals, microcontroller and driver-level programming, debugging on resource-constrained targets, and how you reason about firmware that must run unattended across a massive device fleet.
SpaceX
backend
Build highly reliable, available software systems for the ground network behind Starlink's satellite internet service, designing fault-tolerant systems that operate for long periods with minimal maintenance while orchestrating the world's largest satellite constellation. You'd own backend services that route and manage traffic across millions of user terminals. A technical interview would probe distributed-systems design, fault tolerance and failure recovery, networking fundamentals, and your ability to reason about availability and consistency in a planet-scale, latency-sensitive system.
SpaceX
backend
Design, develop, and test the software that controls and simulates Starship's flight systems, working across the full stack from application down through operating system, networking, firmware, and simulation in close partnership with hardware engineers. You'd write high-reliability C++ for vehicles where a software defect can lose a mission. A technical interview would probe deep C++ proficiency, real-time and embedded constraints, memory and concurrency management, and your ability to debug low-level software interacting directly with hardware and sensors.
Stripe
backend
Builds the APIs and ledgering systems behind Stripe's money movement and storage products, where correctness, idempotency, and consistency directly affect customer funds across global rails. Designs developer-facing interfaces and the services that move and store value at scale. A technical interview would probe financial-systems correctness (ledgers, idempotency, exactly-once semantics), API design, and how you reason about consistency and failure recovery when money is in flight.
Vercel
backend
Develop the platform that detects and prevents fraud, phishing, and abuse across Vercel's deployment and hosting products, building automated signals and enforcement pipelines that act on large volumes of accounts and traffic. The work combines backend data pipelines with policy enforcement and investigation tooling. An interview would probe designing event-driven detection pipelines, balancing precision versus recall on abuse signals, and building idempotent, auditable enforcement actions over a high-volume dataset.
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Да. ExoForm проводит живое голосовое интервью, задает уточнения и после завершения показывает оценку и разбор ответов.
Нет. Можно начать бесплатно, а позже перейти на платный план, если нужно больше тренировок.